From e09e8a9e5c634882299381af74fa9560fe89850e Mon Sep 17 00:00:00 2001 From: "elias.kuepper" Date: Tue, 25 Jun 2019 11:25:14 -0700 Subject: [PATCH 01/34] allowmissing -> strict --- src/utils/load_data.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/utils/load_data.jl b/src/utils/load_data.jl index d546fef..390e657 100644 --- a/src/utils/load_data.jl +++ b/src/utils/load_data.jl @@ -53,7 +53,7 @@ function add_timeseries_data!(dt::Dict{String,Array}, T::Int=24, years::Array{Int,1}=[2016]) #Load the data - data_df=CSV.read(joinpath(data_path,data_name*".csv");allowmissing=:none) + data_df=CSV.read(joinpath(data_path,data_name*".csv");strict=true) # Add it to the dictionary return add_timeseries_data!(dt,data_name, data_df; K=K, T=T, years=years) end From ac9f649f21f2563cd70fe60907d694241e60d679 Mon Sep 17 00:00:00 2001 From: Holger Teichgraeber Date: Tue, 25 Jun 2019 15:54:43 -0700 Subject: [PATCH 02/34] Updated Documentation, introduced example data, cleaned examples --- data/DAM/CA/TS/el_price.csv | 8761 ------------------------------ data/DAM/CA/el_price.csv | 8761 ++++++++++++++++++++++++++++++ data/DAM/GER/TS/el_price.csv | 8761 ------------------------------ data/DAM/GER/el_price.csv | 8761 ++++++++++++++++++++++++++++++ docs/.gitignore | 1 + docs/make.jl | 4 +- docs/src/clust.md | 45 - docs/src/index.md | 30 +- docs/src/load_data.md | 51 +- docs/src/opt.md | 19 +- docs/src/quickstart.md | 41 + docs/src/repr_per.md | 86 + docs/src/workflow.md | 20 - examples/example_run_clust.jl | 35 - examples/workflow_example_bat.jl | 35 - src/ClustForOpt.jl | 3 +- src/clustering/extreme_vals.jl | 45 +- src/clustering/run_clust.jl | 79 +- src/optim_problems/cap_exp.jl | 131 - src/optim_problems/run_opt.jl | 3 +- src/utils/datastructs.jl | 105 +- src/utils/load_data.jl | 72 +- 22 files changed, 17973 insertions(+), 17876 deletions(-) delete mode 100644 data/DAM/CA/TS/el_price.csv create mode 100644 data/DAM/CA/el_price.csv delete mode 100644 data/DAM/GER/TS/el_price.csv create mode 100644 data/DAM/GER/el_price.csv create mode 100644 docs/.gitignore delete mode 100644 docs/src/clust.md create mode 100644 docs/src/quickstart.md create mode 100644 docs/src/repr_per.md delete mode 100644 docs/src/workflow.md delete mode 100644 examples/example_run_clust.jl delete mode 100644 examples/workflow_example_bat.jl delete mode 100644 src/optim_problems/cap_exp.jl diff --git a/data/DAM/CA/TS/el_price.csv b/data/DAM/CA/TS/el_price.csv deleted file mode 100644 index 6a36b98..0000000 --- a/data/DAM/CA/TS/el_price.csv +++ /dev/null @@ -1,8761 +0,0 @@ -Timestamp,CA -01/01/15 12:00 AM,36.60436 -01/01/15 01:00 AM,34.4529 -01/01/15 02:00 AM,33.02658 -01/01/15 03:00 AM,31.57161 -01/01/15 04:00 AM,33.37264 -01/01/15 05:00 AM,36.28938 -01/01/15 06:00 AM,38.05681 -01/01/15 07:00 AM,38.7898 -01/01/15 08:00 AM,35.17378 -01/01/15 09:00 AM,30.26771 -01/01/15 10:00 AM,27.78808 -01/01/15 11:00 AM,26.23191 -01/01/15 12:00 PM,24.82488 -01/01/15 01:00 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-2015-01-12T20:00:00,27.61 -2015-01-12T21:00:00,15.55 -2015-01-12T22:00:00,14.91 -2015-01-12T23:00:00,9.1 -2015-01-13T00:00:00,9.27 -2015-01-13T01:00:00,10.42 -2015-01-13T02:00:00,11.16 -2015-01-13T03:00:00,10.71 -2015-01-13T04:00:00,11.26 -2015-01-13T05:00:00,11.69 -2015-01-13T06:00:00,21.05 -2015-01-13T07:00:00,32.37 -2015-01-13T08:00:00,34.21 -2015-01-13T09:00:00,28.47 -2015-01-13T10:00:00,26.07 -2015-01-13T11:00:00,23.74 -2015-01-13T12:00:00,23.73 -2015-01-13T13:00:00,23.76 -2015-01-13T14:00:00,25.62 -2015-01-13T15:00:00,28.91 -2015-01-13T16:00:00,34.13 -2015-01-13T17:00:00,42.16 -2015-01-13T18:00:00,41.99 -2015-01-13T19:00:00,37.91 -2015-01-13T20:00:00,31.41 -2015-01-13T21:00:00,29.91 -2015-01-13T22:00:00,27.02 -2015-01-13T23:00:00,18.36 -2015-01-14T00:00:00,13.25 -2015-01-14T01:00:00,15.02 -2015-01-14T02:00:00,11.99 -2015-01-14T03:00:00,13.68 -2015-01-14T04:00:00,13.91 -2015-01-14T05:00:00,16.26 -2015-01-14T06:00:00,27.32 -2015-01-14T07:00:00,31.62 -2015-01-14T08:00:00,34.74 -2015-01-14T09:00:00,32.41 -2015-01-14T10:00:00,29.71 -2015-01-14T11:00:00,30.32 -2015-01-14T12:00:00,29.7 -2015-01-14T13:00:00,29.28 -2015-01-14T14:00:00,30.63 -2015-01-14T15:00:00,35.61 -2015-01-14T16:00:00,37.8 -2015-01-14T17:00:00,44.69 -2015-01-14T18:00:00,43.23 -2015-01-14T19:00:00,34.51 -2015-01-14T20:00:00,29.44 -2015-01-14T21:00:00,27.96 -2015-01-14T22:00:00,23.73 -2015-01-14T23:00:00,16.29 -2015-01-15T00:00:00,24.36 -2015-01-15T01:00:00,21.59 -2015-01-15T02:00:00,15.46 -2015-01-15T03:00:00,15.44 -2015-01-15T04:00:00,15.43 -2015-01-15T05:00:00,15.47 -2015-01-15T06:00:00,27.69 -2015-01-15T07:00:00,33.89 -2015-01-15T08:00:00,34.79 -2015-01-15T09:00:00,30.9 -2015-01-15T10:00:00,29.97 -2015-01-15T11:00:00,29.42 -2015-01-15T12:00:00,27.02 -2015-01-15T13:00:00,26.18 -2015-01-15T14:00:00,26.53 -2015-01-15T15:00:00,28.21 -2015-01-15T16:00:00,29.37 -2015-01-15T17:00:00,32.54 -2015-01-15T18:00:00,32.67 -2015-01-15T19:00:00,30.49 -2015-01-15T20:00:00,28.32 -2015-01-15T21:00:00,22.05 -2015-01-15T22:00:00,19.01 -2015-01-15T23:00:00,12.01 -2015-01-16T00:00:00,9.78 -2015-01-16T01:00:00,11.64 -2015-01-16T02:00:00,9.72 -2015-01-16T03:00:00,10.56 -2015-01-16T04:00:00,14.11 -2015-01-16T05:00:00,16.02 -2015-01-16T06:00:00,24.71 -2015-01-16T07:00:00,34.04 -2015-01-16T08:00:00,37.71 -2015-01-16T09:00:00,36.92 -2015-01-16T10:00:00,37.99 -2015-01-16T11:00:00,39.97 -2015-01-16T12:00:00,39.95 -2015-01-16T13:00:00,40.02 -2015-01-16T14:00:00,41.83 -2015-01-16T15:00:00,44.05 -2015-01-16T16:00:00,47.1 -2015-01-16T17:00:00,52.49 -2015-01-16T18:00:00,53.54 -2015-01-16T19:00:00,48.02 -2015-01-16T20:00:00,41.51 -2015-01-16T21:00:00,37.92 -2015-01-16T22:00:00,35.64 -2015-01-16T23:00:00,28.79 -2015-01-17T00:00:00,29.03 -2015-01-17T01:00:00,27.47 -2015-01-17T02:00:00,28.06 -2015-01-17T03:00:00,27.92 -2015-01-17T04:00:00,27.05 -2015-01-17T05:00:00,27.24 -2015-01-17T06:00:00,27.34 -2015-01-17T07:00:00,27.74 -2015-01-17T08:00:00,29.73 -2015-01-17T09:00:00,35.05 -2015-01-17T10:00:00,38.81 -2015-01-17T11:00:00,38.89 -2015-01-17T12:00:00,34.99 -2015-01-17T13:00:00,31.96 -2015-01-17T14:00:00,30.07 -2015-01-17T15:00:00,31.27 -2015-01-17T16:00:00,33.84 -2015-01-17T17:00:00,42.44 -2015-01-17T18:00:00,44.9 -2015-01-17T19:00:00,34.24 -2015-01-17T20:00:00,28.95 -2015-01-17T21:00:00,27.02 -2015-01-17T22:00:00,27.46 -2015-01-17T23:00:00,24.5 -2015-01-18T00:00:00,23.35 -2015-01-18T01:00:00,21.19 -2015-01-18T02:00:00,22.24 -2015-01-18T03:00:00,22.31 -2015-01-18T04:00:00,22.32 -2015-01-18T05:00:00,22.11 -2015-01-18T06:00:00,14.12 -2015-01-18T07:00:00,15.17 -2015-01-18T08:00:00,19.07 -2015-01-18T09:00:00,24.94 -2015-01-18T10:00:00,27.2 -2015-01-18T11:00:00,28.22 -2015-01-18T12:00:00,28.15 -2015-01-18T13:00:00,27.85 -2015-01-18T14:00:00,28.17 -2015-01-18T15:00:00,29.91 -2015-01-18T16:00:00,30.44 -2015-01-18T17:00:00,38.42 -2015-01-18T18:00:00,42.46 -2015-01-18T19:00:00,39.8 -2015-01-18T20:00:00,30.54 -2015-01-18T21:00:00,30.4 -2015-01-18T22:00:00,31 -2015-01-18T23:00:00,28.42 -2015-01-19T00:00:00,27.92 -2015-01-19T01:00:00,27.76 -2015-01-19T02:00:00,28.25 -2015-01-19T03:00:00,28.41 -2015-01-19T04:00:00,28.07 -2015-01-19T05:00:00,29.63 -2015-01-19T06:00:00,42.87 -2015-01-19T07:00:00,52.07 -2015-01-19T08:00:00,56.49 -2015-01-19T09:00:00,52.38 -2015-01-19T10:00:00,48.84 -2015-01-19T11:00:00,47.95 -2015-01-19T12:00:00,44.97 -2015-01-19T13:00:00,47.95 -2015-01-19T14:00:00,47.72 -2015-01-19T15:00:00,47.43 -2015-01-19T16:00:00,48.19 -2015-01-19T17:00:00,52.16 -2015-01-19T18:00:00,56.26 -2015-01-19T19:00:00,52.96 -2015-01-19T20:00:00,45 -2015-01-19T21:00:00,40 -2015-01-19T22:00:00,37.53 -2015-01-19T23:00:00,31.07 -2015-01-20T00:00:00,31.93 -2015-01-20T01:00:00,31.08 -2015-01-20T02:00:00,29.92 -2015-01-20T03:00:00,29.97 -2015-01-20T04:00:00,31.02 -2015-01-20T05:00:00,34.81 -2015-01-20T06:00:00,39.4 -2015-01-20T07:00:00,53.39 -2015-01-20T08:00:00,58.88 -2015-01-20T09:00:00,58.8 -2015-01-20T10:00:00,57.34 -2015-01-20T11:00:00,57.46 -2015-01-20T12:00:00,53.53 -2015-01-20T13:00:00,52.93 -2015-01-20T14:00:00,52.38 -2015-01-20T15:00:00,52.1 -2015-01-20T16:00:00,51.04 -2015-01-20T17:00:00,58.55 -2015-01-20T18:00:00,66.65 -2015-01-20T19:00:00,56.02 -2015-01-20T20:00:00,50.01 -2015-01-20T21:00:00,42.73 -2015-01-20T22:00:00,42.02 -2015-01-20T23:00:00,36.93 -2015-01-21T00:00:00,31.08 -2015-01-21T01:00:00,32.07 -2015-01-21T02:00:00,31.53 -2015-01-21T03:00:00,31.2 -2015-01-21T04:00:00,33.27 -2015-01-21T05:00:00,35.07 -2015-01-21T06:00:00,43.71 -2015-01-21T07:00:00,54.12 -2015-01-21T08:00:00,58.39 -2015-01-21T09:00:00,56.6 -2015-01-21T10:00:00,54.96 -2015-01-21T11:00:00,53.99 -2015-01-21T12:00:00,48.49 -2015-01-21T13:00:00,49.59 -2015-01-21T14:00:00,48 -2015-01-21T15:00:00,50 -2015-01-21T16:00:00,51.02 -2015-01-21T17:00:00,55.47 -2015-01-21T18:00:00,57.1 -2015-01-21T19:00:00,51.95 -2015-01-21T20:00:00,43.22 -2015-01-21T21:00:00,38.98 -2015-01-21T22:00:00,38.38 -2015-01-21T23:00:00,31.51 -2015-01-22T00:00:00,29.67 -2015-01-22T01:00:00,29.93 -2015-01-22T02:00:00,29 -2015-01-22T03:00:00,28.96 -2015-01-22T04:00:00,29.38 -2015-01-22T05:00:00,31.09 -2015-01-22T06:00:00,36.92 -2015-01-22T07:00:00,48.42 -2015-01-22T08:00:00,53.79 -2015-01-22T09:00:00,50.52 -2015-01-22T10:00:00,50.53 -2015-01-22T11:00:00,49.89 -2015-01-22T12:00:00,52.44 -2015-01-22T13:00:00,54.01 -2015-01-22T14:00:00,51.54 -2015-01-22T15:00:00,49.99 -2015-01-22T16:00:00,51.99 -2015-01-22T17:00:00,59.2 -2015-01-22T18:00:00,56.99 -2015-01-22T19:00:00,53.81 -2015-01-22T20:00:00,45.57 -2015-01-22T21:00:00,39.86 -2015-01-22T22:00:00,37.26 -2015-01-22T23:00:00,30.96 -2015-01-23T00:00:00,31.18 -2015-01-23T01:00:00,29.97 -2015-01-23T02:00:00,28.86 -2015-01-23T03:00:00,28.78 -2015-01-23T04:00:00,29.39 -2015-01-23T05:00:00,32.49 -2015-01-23T06:00:00,37.52 -2015-01-23T07:00:00,54.28 -2015-01-23T08:00:00,53.56 -2015-01-23T09:00:00,57.68 -2015-01-23T10:00:00,56.97 -2015-01-23T11:00:00,55.75 -2015-01-23T12:00:00,49.94 -2015-01-23T13:00:00,47.77 -2015-01-23T14:00:00,46.58 -2015-01-23T15:00:00,44.09 -2015-01-23T16:00:00,45.18 -2015-01-23T17:00:00,49.98 -2015-01-23T18:00:00,47.99 -2015-01-23T19:00:00,46.98 -2015-01-23T20:00:00,41.48 -2015-01-23T21:00:00,35.12 -2015-01-23T22:00:00,34.21 -2015-01-23T23:00:00,31.14 -2015-01-24T00:00:00,28.5 -2015-01-24T01:00:00,27.04 -2015-01-24T02:00:00,24.44 -2015-01-24T03:00:00,24.29 -2015-01-24T04:00:00,25.93 -2015-01-24T05:00:00,24.99 -2015-01-24T06:00:00,23.94 -2015-01-24T07:00:00,24.26 -2015-01-24T08:00:00,27.6 -2015-01-24T09:00:00,29.53 -2015-01-24T10:00:00,30.26 -2015-01-24T11:00:00,37.81 -2015-01-24T12:00:00,37.27 -2015-01-24T13:00:00,34.37 -2015-01-24T14:00:00,30.07 -2015-01-24T15:00:00,30.25 -2015-01-24T16:00:00,34.52 -2015-01-24T17:00:00,36.09 -2015-01-24T18:00:00,37.86 -2015-01-24T19:00:00,34.56 -2015-01-24T20:00:00,30.04 -2015-01-24T21:00:00,27.97 -2015-01-24T22:00:00,28.11 -2015-01-24T23:00:00,24.99 -2015-01-25T00:00:00,23.26 -2015-01-25T01:00:00,22.13 -2015-01-25T02:00:00,19.04 -2015-01-25T03:00:00,19.91 -2015-01-25T04:00:00,21.49 -2015-01-25T05:00:00,21.75 -2015-01-25T06:00:00,19.82 -2015-01-25T07:00:00,22.35 -2015-01-25T08:00:00,24.64 -2015-01-25T09:00:00,28.03 -2015-01-25T10:00:00,29.94 -2015-01-25T11:00:00,36.65 -2015-01-25T12:00:00,31.99 -2015-01-25T13:00:00,29.25 -2015-01-25T14:00:00,29.13 -2015-01-25T15:00:00,29.26 -2015-01-25T16:00:00,30.29 -2015-01-25T17:00:00,36.5 -2015-01-25T18:00:00,40.96 -2015-01-25T19:00:00,39.03 -2015-01-25T20:00:00,34.92 -2015-01-25T21:00:00,30.2 -2015-01-25T22:00:00,29.99 -2015-01-25T23:00:00,28.07 -2015-01-26T00:00:00,26.93 -2015-01-26T01:00:00,26.13 -2015-01-26T02:00:00,25.54 -2015-01-26T03:00:00,25.41 -2015-01-26T04:00:00,25.8 -2015-01-26T05:00:00,27.1 -2015-01-26T06:00:00,41.94 -2015-01-26T07:00:00,55.16 -2015-01-26T08:00:00,53.22 -2015-01-26T09:00:00,47.28 -2015-01-26T10:00:00,45.28 -2015-01-26T11:00:00,47.43 -2015-01-26T12:00:00,46.22 -2015-01-26T13:00:00,46 -2015-01-26T14:00:00,42.47 -2015-01-26T15:00:00,42.44 -2015-01-26T16:00:00,39.76 -2015-01-26T17:00:00,44.92 -2015-01-26T18:00:00,44.03 -2015-01-26T19:00:00,36.98 -2015-01-26T20:00:00,30.34 -2015-01-26T21:00:00,28.49 -2015-01-26T22:00:00,27.15 -2015-01-26T23:00:00,24.05 -2015-01-27T00:00:00,20.36 -2015-01-27T01:00:00,16.31 -2015-01-27T02:00:00,16.95 -2015-01-27T03:00:00,16.34 -2015-01-27T04:00:00,19.92 -2015-01-27T05:00:00,22.92 -2015-01-27T06:00:00,27.57 -2015-01-27T07:00:00,34.27 -2015-01-27T08:00:00,35.92 -2015-01-27T09:00:00,36.97 -2015-01-27T10:00:00,36.94 -2015-01-27T11:00:00,38.33 -2015-01-27T12:00:00,37.93 -2015-01-27T13:00:00,38.19 -2015-01-27T14:00:00,39.14 -2015-01-27T15:00:00,40.96 -2015-01-27T16:00:00,38.93 -2015-01-27T17:00:00,50.65 -2015-01-27T18:00:00,46.31 -2015-01-27T19:00:00,42.26 -2015-01-27T20:00:00,40 -2015-01-27T21:00:00,35.23 -2015-01-27T22:00:00,30.28 -2015-01-27T23:00:00,27.8 -2015-01-28T00:00:00,26.97 -2015-01-28T01:00:00,26.59 -2015-01-28T02:00:00,25.93 -2015-01-28T03:00:00,25.27 -2015-01-28T04:00:00,25.75 -2015-01-28T05:00:00,25.94 -2015-01-28T06:00:00,34.25 -2015-01-28T07:00:00,44.31 -2015-01-28T08:00:00,42.86 -2015-01-28T09:00:00,33.96 -2015-01-28T10:00:00,33.11 -2015-01-28T11:00:00,29.72 -2015-01-28T12:00:00,27.85 -2015-01-28T13:00:00,27.63 -2015-01-28T14:00:00,27.03 -2015-01-28T15:00:00,26.59 -2015-01-28T16:00:00,27 -2015-01-28T17:00:00,29.95 -2015-01-28T18:00:00,28.62 -2015-01-28T19:00:00,28.01 -2015-01-28T20:00:00,25.47 -2015-01-28T21:00:00,21.69 -2015-01-28T22:00:00,16.96 -2015-01-28T23:00:00,14.9 -2015-01-29T00:00:00,9.98 -2015-01-29T01:00:00,10.74 -2015-01-29T02:00:00,9.21 -2015-01-29T03:00:00,9.37 -2015-01-29T04:00:00,11.84 -2015-01-29T05:00:00,13.37 -2015-01-29T06:00:00,26.2 -2015-01-29T07:00:00,30 -2015-01-29T08:00:00,32.12 -2015-01-29T09:00:00,28.89 -2015-01-29T10:00:00,28.81 -2015-01-29T11:00:00,29.81 -2015-01-29T12:00:00,28.63 -2015-01-29T13:00:00,28.56 -2015-01-29T14:00:00,29.18 -2015-01-29T15:00:00,33.82 -2015-01-29T16:00:00,32.45 -2015-01-29T17:00:00,41.35 -2015-01-29T18:00:00,39.73 -2015-01-29T19:00:00,39 -2015-01-29T20:00:00,33.41 -2015-01-29T21:00:00,29.09 -2015-01-29T22:00:00,28.74 -2015-01-29T23:00:00,25.4 -2015-01-30T00:00:00,26.6 -2015-01-30T01:00:00,25.61 -2015-01-30T02:00:00,26.42 -2015-01-30T03:00:00,24.74 -2015-01-30T04:00:00,23.89 -2015-01-30T05:00:00,26.07 -2015-01-30T06:00:00,36.41 -2015-01-30T07:00:00,48.76 -2015-01-30T08:00:00,49.19 -2015-01-30T09:00:00,46.35 -2015-01-30T10:00:00,49.51 -2015-01-30T11:00:00,47.47 -2015-01-30T12:00:00,46 -2015-01-30T13:00:00,44.95 -2015-01-30T14:00:00,43.24 -2015-01-30T15:00:00,43.71 -2015-01-30T16:00:00,44 -2015-01-30T17:00:00,46.69 -2015-01-30T18:00:00,48.26 -2015-01-30T19:00:00,43.11 -2015-01-30T20:00:00,40.04 -2015-01-30T21:00:00,30.17 -2015-01-30T22:00:00,29.5 -2015-01-30T23:00:00,27.01 -2015-01-31T00:00:00,27.92 -2015-01-31T01:00:00,26.5 -2015-01-31T02:00:00,26.4 -2015-01-31T03:00:00,25.75 -2015-01-31T04:00:00,24.95 -2015-01-31T05:00:00,25.13 -2015-01-31T06:00:00,24.98 -2015-01-31T07:00:00,26.55 -2015-01-31T08:00:00,28.36 -2015-01-31T09:00:00,29.51 -2015-01-31T10:00:00,29.91 -2015-01-31T11:00:00,28.79 -2015-01-31T12:00:00,28.41 -2015-01-31T13:00:00,28.23 -2015-01-31T14:00:00,28.19 -2015-01-31T15:00:00,29.17 -2015-01-31T16:00:00,32.12 -2015-01-31T17:00:00,42.99 -2015-01-31T18:00:00,44.31 -2015-01-31T19:00:00,42.15 -2015-01-31T20:00:00,32.83 -2015-01-31T21:00:00,28.34 -2015-01-31T22:00:00,28.5 -2015-01-31T23:00:00,25.56 -2015-02-01T00:00:00,27.04 -2015-02-01T01:00:00,26.32 -2015-02-01T02:00:00,25.98 -2015-02-01T03:00:00,25.63 -2015-02-01T04:00:00,25.78 -2015-02-01T05:00:00,25.99 -2015-02-01T06:00:00,24.26 -2015-02-01T07:00:00,26.48 -2015-02-01T08:00:00,27.84 -2015-02-01T09:00:00,29.09 -2015-02-01T10:00:00,34.15 -2015-02-01T11:00:00,37.74 -2015-02-01T12:00:00,34.95 -2015-02-01T13:00:00,28.24 -2015-02-01T14:00:00,28.21 -2015-02-01T15:00:00,28.47 -2015-02-01T16:00:00,29.89 -2015-02-01T17:00:00,36.85 -2015-02-01T18:00:00,36.55 -2015-02-01T19:00:00,29.99 -2015-02-01T20:00:00,28.59 -2015-02-01T21:00:00,28.36 -2015-02-01T22:00:00,28.18 -2015-02-01T23:00:00,26.92 -2015-02-02T00:00:00,27.23 -2015-02-02T01:00:00,26.38 -2015-02-02T02:00:00,26.19 -2015-02-02T03:00:00,26.21 -2015-02-02T04:00:00,26.24 -2015-02-02T05:00:00,27.47 -2015-02-02T06:00:00,37.85 -2015-02-02T07:00:00,53.35 -2015-02-02T08:00:00,53.13 -2015-02-02T09:00:00,54.92 -2015-02-02T10:00:00,51.35 -2015-02-02T11:00:00,50.96 -2015-02-02T12:00:00,45 -2015-02-02T13:00:00,44.04 -2015-02-02T14:00:00,44.98 -2015-02-02T15:00:00,45.74 -2015-02-02T16:00:00,47.99 -2015-02-02T17:00:00,58.95 -2015-02-02T18:00:00,54.92 -2015-02-02T19:00:00,51.45 -2015-02-02T20:00:00,45 -2015-02-02T21:00:00,43.05 -2015-02-02T22:00:00,40 -2015-02-02T23:00:00,34.68 -2015-02-03T00:00:00,29.46 -2015-02-03T01:00:00,28.84 -2015-02-03T02:00:00,28.05 -2015-02-03T03:00:00,28.08 -2015-02-03T04:00:00,28.21 -2015-02-03T05:00:00,30.08 -2015-02-03T06:00:00,40 -2015-02-03T07:00:00,60.43 -2015-02-03T08:00:00,60.08 -2015-02-03T09:00:00,58.79 -2015-02-03T10:00:00,55.77 -2015-02-03T11:00:00,53.37 -2015-02-03T12:00:00,46.2 -2015-02-03T13:00:00,48.76 -2015-02-03T14:00:00,47.85 -2015-02-03T15:00:00,51.7 -2015-02-03T16:00:00,51.54 -2015-02-03T17:00:00,60.07 -2015-02-03T18:00:00,65.52 -2015-02-03T19:00:00,52.89 -2015-02-03T20:00:00,47.99 -2015-02-03T21:00:00,44.25 -2015-02-03T22:00:00,43.93 -2015-02-03T23:00:00,30.87 -2015-02-04T00:00:00,34.9 -2015-02-04T01:00:00,31.14 -2015-02-04T02:00:00,30.08 -2015-02-04T03:00:00,30.06 -2015-02-04T04:00:00,30.49 -2015-02-04T05:00:00,33.55 -2015-02-04T06:00:00,42.64 -2015-02-04T07:00:00,50.92 -2015-02-04T08:00:00,61.76 -2015-02-04T09:00:00,62.59 -2015-02-04T10:00:00,61.1 -2015-02-04T11:00:00,58.94 -2015-02-04T12:00:00,54.87 -2015-02-04T13:00:00,53.53 -2015-02-04T14:00:00,51.45 -2015-02-04T15:00:00,49.88 -2015-02-04T16:00:00,49.92 -2015-02-04T17:00:00,59.37 -2015-02-04T18:00:00,75.87 -2015-02-04T19:00:00,62.73 -2015-02-04T20:00:00,49.89 -2015-02-04T21:00:00,42.66 -2015-02-04T22:00:00,44.04 -2015-02-04T23:00:00,36.41 -2015-02-05T00:00:00,39.96 -2015-02-05T01:00:00,33.29 -2015-02-05T02:00:00,32.24 -2015-02-05T03:00:00,32.44 -2015-02-05T04:00:00,32.92 -2015-02-05T05:00:00,38.91 -2015-02-05T06:00:00,45.96 -2015-02-05T07:00:00,63.79 -2015-02-05T08:00:00,62.06 -2015-02-05T09:00:00,60.28 -2015-02-05T10:00:00,52.03 -2015-02-05T11:00:00,49.96 -2015-02-05T12:00:00,50.52 -2015-02-05T13:00:00,47.44 -2015-02-05T14:00:00,44.5 -2015-02-05T15:00:00,43.54 -2015-02-05T16:00:00,44.04 -2015-02-05T17:00:00,50.75 -2015-02-05T18:00:00,48.13 -2015-02-05T19:00:00,44.94 -2015-02-05T20:00:00,41.89 -2015-02-05T21:00:00,37.9 -2015-02-05T22:00:00,30.45 -2015-02-05T23:00:00,29.01 -2015-02-06T00:00:00,28.73 -2015-02-06T01:00:00,28.14 -2015-02-06T02:00:00,27.75 -2015-02-06T03:00:00,27.73 -2015-02-06T04:00:00,28.23 -2015-02-06T05:00:00,29.05 -2015-02-06T06:00:00,36 -2015-02-06T07:00:00,52.92 -2015-02-06T08:00:00,46.9 -2015-02-06T09:00:00,45.94 -2015-02-06T10:00:00,45.93 -2015-02-06T11:00:00,42.93 -2015-02-06T12:00:00,39.65 -2015-02-06T13:00:00,37.1 -2015-02-06T14:00:00,35.54 -2015-02-06T15:00:00,38.57 -2015-02-06T16:00:00,42.95 -2015-02-06T17:00:00,50.19 -2015-02-06T18:00:00,54.95 -2015-02-06T19:00:00,50.24 -2015-02-06T20:00:00,45 -2015-02-06T21:00:00,40.33 -2015-02-06T22:00:00,39.37 -2015-02-06T23:00:00,29.01 -2015-02-07T00:00:00,28.46 -2015-02-07T01:00:00,28 -2015-02-07T02:00:00,27.29 -2015-02-07T03:00:00,26.28 -2015-02-07T04:00:00,26.08 -2015-02-07T05:00:00,25.91 -2015-02-07T06:00:00,25.53 -2015-02-07T07:00:00,27.79 -2015-02-07T08:00:00,32.03 -2015-02-07T09:00:00,42.1 -2015-02-07T10:00:00,37.96 -2015-02-07T11:00:00,33.75 -2015-02-07T12:00:00,29.99 -2015-02-07T13:00:00,26.56 -2015-02-07T14:00:00,25.36 -2015-02-07T15:00:00,24.76 -2015-02-07T16:00:00,25.16 -2015-02-07T17:00:00,29.15 -2015-02-07T18:00:00,35.81 -2015-02-07T19:00:00,26.83 -2015-02-07T20:00:00,22.31 -2015-02-07T21:00:00,15.01 -2015-02-07T22:00:00,14.25 -2015-02-07T23:00:00,9.56 -2015-02-08T00:00:00,-5 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-2015-02-09T14:00:00,30.69 -2015-02-09T15:00:00,32.81 -2015-02-09T16:00:00,32.3 -2015-02-09T17:00:00,37.66 -2015-02-09T18:00:00,43.93 -2015-02-09T19:00:00,44.57 -2015-02-09T20:00:00,39.91 -2015-02-09T21:00:00,32.84 -2015-02-09T22:00:00,29.43 -2015-02-09T23:00:00,27.12 -2015-02-10T00:00:00,25.36 -2015-02-10T01:00:00,25.32 -2015-02-10T02:00:00,25.19 -2015-02-10T03:00:00,25.57 -2015-02-10T04:00:00,26.02 -2015-02-10T05:00:00,27.75 -2015-02-10T06:00:00,38.22 -2015-02-10T07:00:00,52.95 -2015-02-10T08:00:00,49 -2015-02-10T09:00:00,45.97 -2015-02-10T10:00:00,47.97 -2015-02-10T11:00:00,49.97 -2015-02-10T12:00:00,47.27 -2015-02-10T13:00:00,46.95 -2015-02-10T14:00:00,46 -2015-02-10T15:00:00,47 -2015-02-10T16:00:00,50.38 -2015-02-10T17:00:00,61.41 -2015-02-10T18:00:00,84.94 -2015-02-10T19:00:00,62.82 -2015-02-10T20:00:00,51.66 -2015-02-10T21:00:00,44.09 -2015-02-10T22:00:00,44.54 -2015-02-10T23:00:00,33.95 -2015-02-11T00:00:00,30.57 -2015-02-11T01:00:00,30.67 -2015-02-11T02:00:00,30.52 -2015-02-11T03:00:00,30.62 -2015-02-11T04:00:00,31.39 -2015-02-11T05:00:00,33.1 -2015-02-11T06:00:00,45.97 -2015-02-11T07:00:00,60.14 -2015-02-11T08:00:00,64.91 -2015-02-11T09:00:00,59.91 -2015-02-11T10:00:00,54.22 -2015-02-11T11:00:00,53.85 -2015-02-11T12:00:00,49.06 -2015-02-11T13:00:00,48.82 -2015-02-11T14:00:00,47.93 -2015-02-11T15:00:00,49.8 -2015-02-11T16:00:00,50.86 -2015-02-11T17:00:00,58.48 -2015-02-11T18:00:00,81.37 -2015-02-11T19:00:00,65.22 -2015-02-11T20:00:00,55.62 -2015-02-11T21:00:00,46 -2015-02-11T22:00:00,47.94 -2015-02-11T23:00:00,32.81 -2015-02-12T00:00:00,36.63 -2015-02-12T01:00:00,34.25 -2015-02-12T02:00:00,31.67 -2015-02-12T03:00:00,32.03 -2015-02-12T04:00:00,32.35 -2015-02-12T05:00:00,36.2 -2015-02-12T06:00:00,49.95 -2015-02-12T07:00:00,63.36 -2015-02-12T08:00:00,70.6 -2015-02-12T09:00:00,60.81 -2015-02-12T10:00:00,53.81 -2015-02-12T11:00:00,49.96 -2015-02-12T12:00:00,44.91 -2015-02-12T13:00:00,43.9 -2015-02-12T14:00:00,43.94 -2015-02-12T15:00:00,45.47 -2015-02-12T16:00:00,49.96 -2015-02-12T17:00:00,57.58 -2015-02-12T18:00:00,72 -2015-02-12T19:00:00,69.94 -2015-02-12T20:00:00,54.98 -2015-02-12T21:00:00,46.72 -2015-02-12T22:00:00,43.29 -2015-02-12T23:00:00,36.91 -2015-02-13T00:00:00,31.03 -2015-02-13T01:00:00,31.1 -2015-02-13T02:00:00,31.04 -2015-02-13T03:00:00,31.02 -2015-02-13T04:00:00,31.88 -2015-02-13T05:00:00,33 -2015-02-13T06:00:00,45.42 -2015-02-13T07:00:00,58.25 -2015-02-13T08:00:00,57.84 -2015-02-13T09:00:00,50.81 -2015-02-13T10:00:00,45.49 -2015-02-13T11:00:00,42.97 -2015-02-13T12:00:00,38.05 -2015-02-13T13:00:00,33.45 -2015-02-13T14:00:00,32.06 -2015-02-13T15:00:00,38.04 -2015-02-13T16:00:00,43.2 -2015-02-13T17:00:00,45.75 -2015-02-13T18:00:00,46.31 -2015-02-13T19:00:00,41.71 -2015-02-13T20:00:00,31.81 -2015-02-13T21:00:00,29.05 -2015-02-13T22:00:00,30.43 -2015-02-13T23:00:00,29.09 -2015-02-14T00:00:00,28.81 -2015-02-14T01:00:00,30.05 -2015-02-14T02:00:00,28.02 -2015-02-14T03:00:00,27.67 -2015-02-14T04:00:00,27.68 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-2015-03-01T15:00:00,11.67 -2015-03-01T16:00:00,11.6 -2015-03-01T17:00:00,15.27 -2015-03-01T18:00:00,25.69 -2015-03-01T19:00:00,25.65 -2015-03-01T20:00:00,24.8 -2015-03-01T21:00:00,15.28 -2015-03-01T22:00:00,23.94 -2015-03-01T23:00:00,16.64 -2015-03-02T00:00:00,18 -2015-03-02T01:00:00,15.38 -2015-03-02T02:00:00,15.1 -2015-03-02T03:00:00,13 -2015-03-02T04:00:00,12 -2015-03-02T05:00:00,17.85 -2015-03-02T06:00:00,31.49 -2015-03-02T07:00:00,38.96 -2015-03-02T08:00:00,35.99 -2015-03-02T09:00:00,30.75 -2015-03-02T10:00:00,28.46 -2015-03-02T11:00:00,27.09 -2015-03-02T12:00:00,25.89 -2015-03-02T13:00:00,26.1 -2015-03-02T14:00:00,25.85 -2015-03-02T15:00:00,26.69 -2015-03-02T16:00:00,28.5 -2015-03-02T17:00:00,38.56 -2015-03-02T18:00:00,47.44 -2015-03-02T19:00:00,45.92 -2015-03-02T20:00:00,29.83 -2015-03-02T21:00:00,26.59 -2015-03-02T22:00:00,24.23 -2015-03-02T23:00:00,12.14 -2015-03-03T00:00:00,13.76 -2015-03-03T01:00:00,9.79 -2015-03-03T02:00:00,8.4 -2015-03-03T03:00:00,9.48 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-2015-03-06T06:00:00,42.05 -2015-03-06T07:00:00,50.96 -2015-03-06T08:00:00,49.22 -2015-03-06T09:00:00,49.08 -2015-03-06T10:00:00,48.34 -2015-03-06T11:00:00,46 -2015-03-06T12:00:00,39.44 -2015-03-06T13:00:00,36.8 -2015-03-06T14:00:00,33.72 -2015-03-06T15:00:00,39.51 -2015-03-06T16:00:00,41.26 -2015-03-06T17:00:00,45.98 -2015-03-06T18:00:00,59.61 -2015-03-06T19:00:00,62 -2015-03-06T20:00:00,42.98 -2015-03-06T21:00:00,34.48 -2015-03-06T22:00:00,34.05 -2015-03-06T23:00:00,29.66 -2015-03-07T00:00:00,34.09 -2015-03-07T01:00:00,29.84 -2015-03-07T02:00:00,26.02 -2015-03-07T03:00:00,24.06 -2015-03-07T04:00:00,24.65 -2015-03-07T05:00:00,25.06 -2015-03-07T06:00:00,25.47 -2015-03-07T07:00:00,27.18 -2015-03-07T08:00:00,28.84 -2015-03-07T09:00:00,26.22 -2015-03-07T10:00:00,24.53 -2015-03-07T11:00:00,24.22 -2015-03-07T12:00:00,22.5 -2015-03-07T13:00:00,22.93 -2015-03-07T14:00:00,24.49 -2015-03-07T15:00:00,26.11 -2015-03-07T16:00:00,29.34 -2015-03-07T17:00:00,38.04 -2015-03-07T18:00:00,45.78 -2015-03-07T19:00:00,44.44 -2015-03-07T20:00:00,34.92 -2015-03-07T21:00:00,28.27 -2015-03-07T22:00:00,28.08 -2015-03-07T23:00:00,23.19 -2015-03-08T00:00:00,17.73 -2015-03-08T01:00:00,15.59 -2015-03-08T02:00:00,15.92 -2015-03-08T03:00:00,15.57 -2015-03-08T04:00:00,16.24 -2015-03-08T05:00:00,16.9 -2015-03-08T06:00:00,15.53 -2015-03-08T07:00:00,15.58 -2015-03-08T08:00:00,15.57 -2015-03-08T09:00:00,21.42 -2015-03-08T10:00:00,20.05 -2015-03-08T11:00:00,21.86 -2015-03-08T12:00:00,20.03 -2015-03-08T13:00:00,14.89 -2015-03-08T14:00:00,14.87 -2015-03-08T15:00:00,12.88 -2015-03-08T16:00:00,15.53 -2015-03-08T17:00:00,26.02 -2015-03-08T18:00:00,36.13 -2015-03-08T19:00:00,44.17 -2015-03-08T20:00:00,38.94 -2015-03-08T21:00:00,32.29 -2015-03-08T22:00:00,39.53 -2015-03-08T23:00:00,36.29 -2015-03-09T00:00:00,25.96 -2015-03-09T01:00:00,26.72 -2015-03-09T02:00:00,26.78 -2015-03-09T03:00:00,25.68 -2015-03-09T04:00:00,26.65 -2015-03-09T05:00:00,29.95 -2015-03-09T06:00:00,42.97 -2015-03-09T07:00:00,50.32 -2015-03-09T08:00:00,56.65 -2015-03-09T09:00:00,43.95 -2015-03-09T10:00:00,39.98 -2015-03-09T11:00:00,37.48 -2015-03-09T12:00:00,31.56 -2015-03-09T13:00:00,34.98 -2015-03-09T14:00:00,35.2 -2015-03-09T15:00:00,39.41 -2015-03-09T16:00:00,40 -2015-03-09T17:00:00,45.36 -2015-03-09T18:00:00,59.01 -2015-03-09T19:00:00,65.97 -2015-03-09T20:00:00,50.01 -2015-03-09T21:00:00,39.73 -2015-03-09T22:00:00,33.92 -2015-03-09T23:00:00,26.07 -2015-03-10T00:00:00,29.92 -2015-03-10T01:00:00,28.41 -2015-03-10T02:00:00,27.75 -2015-03-10T03:00:00,28.07 -2015-03-10T04:00:00,30.38 -2015-03-10T05:00:00,31.6 -2015-03-10T06:00:00,44.27 -2015-03-10T07:00:00,48.99 -2015-03-10T08:00:00,42.91 -2015-03-10T09:00:00,36.23 -2015-03-10T10:00:00,32.85 -2015-03-10T11:00:00,32.54 -2015-03-10T12:00:00,30.91 -2015-03-10T13:00:00,33.04 -2015-03-10T14:00:00,32.66 -2015-03-10T15:00:00,36.94 -2015-03-10T16:00:00,40.06 -2015-03-10T17:00:00,44.94 -2015-03-10T18:00:00,57.37 -2015-03-10T19:00:00,65.18 -2015-03-10T20:00:00,50.98 -2015-03-10T21:00:00,39.99 -2015-03-10T22:00:00,33.95 -2015-03-10T23:00:00,29.54 -2015-03-11T00:00:00,27.02 -2015-03-11T01:00:00,27.92 -2015-03-11T02:00:00,26.94 -2015-03-11T03:00:00,26.97 -2015-03-11T04:00:00,27.3 -2015-03-11T05:00:00,29 -2015-03-11T06:00:00,39.93 -2015-03-11T07:00:00,45 -2015-03-11T08:00:00,39.94 -2015-03-11T09:00:00,30.52 -2015-03-11T10:00:00,28.19 -2015-03-11T11:00:00,27.9 -2015-03-11T12:00:00,26.03 -2015-03-11T13:00:00,25.93 -2015-03-11T14:00:00,26.02 -2015-03-11T15:00:00,28.19 -2015-03-11T16:00:00,32 -2015-03-11T17:00:00,42.81 -2015-03-11T18:00:00,52.86 -2015-03-11T19:00:00,66.45 -2015-03-11T20:00:00,47.72 -2015-03-11T21:00:00,40.83 -2015-03-11T22:00:00,40.04 -2015-03-11T23:00:00,31 -2015-03-12T00:00:00,29.44 -2015-03-12T01:00:00,29.7 -2015-03-12T02:00:00,29.63 -2015-03-12T03:00:00,29.95 -2015-03-12T04:00:00,30.94 -2015-03-12T05:00:00,32.13 -2015-03-12T06:00:00,46.55 -2015-03-12T07:00:00,55.39 -2015-03-12T08:00:00,58.13 -2015-03-12T09:00:00,46.96 -2015-03-12T10:00:00,43.93 -2015-03-12T11:00:00,41.01 -2015-03-12T12:00:00,33.36 -2015-03-12T13:00:00,31.96 -2015-03-12T14:00:00,32.37 -2015-03-12T15:00:00,37.99 -2015-03-12T16:00:00,37.9 -2015-03-12T17:00:00,42.01 -2015-03-12T18:00:00,52.02 -2015-03-12T19:00:00,62 -2015-03-12T20:00:00,44.41 -2015-03-12T21:00:00,36.89 -2015-03-12T22:00:00,32.5 -2015-03-12T23:00:00,29.93 -2015-03-13T00:00:00,27.16 -2015-03-13T01:00:00,27.66 -2015-03-13T02:00:00,27.02 -2015-03-13T03:00:00,27.47 -2015-03-13T04:00:00,28.71 -2015-03-13T05:00:00,30.23 -2015-03-13T06:00:00,42.2 -2015-03-13T07:00:00,52.04 -2015-03-13T08:00:00,49.9 -2015-03-13T09:00:00,40.92 -2015-03-13T10:00:00,37.39 -2015-03-13T11:00:00,35.94 -2015-03-13T12:00:00,33.22 -2015-03-13T13:00:00,30.99 -2015-03-13T14:00:00,32.75 -2015-03-13T15:00:00,32.75 -2015-03-13T16:00:00,37.92 -2015-03-13T17:00:00,42.64 -2015-03-13T18:00:00,48.02 -2015-03-13T19:00:00,51.42 -2015-03-13T20:00:00,42.71 -2015-03-13T21:00:00,34.05 -2015-03-13T22:00:00,35.79 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-2015-03-15T12:00:00,24.04 -2015-03-15T13:00:00,23.65 -2015-03-15T14:00:00,22.43 -2015-03-15T15:00:00,23.3 -2015-03-15T16:00:00,24.51 -2015-03-15T17:00:00,31.73 -2015-03-15T18:00:00,42.48 -2015-03-15T19:00:00,41.96 -2015-03-15T20:00:00,34.54 -2015-03-15T21:00:00,27.18 -2015-03-15T22:00:00,27.04 -2015-03-15T23:00:00,23.32 -2015-03-16T00:00:00,22.6 -2015-03-16T01:00:00,22.52 -2015-03-16T02:00:00,21.45 -2015-03-16T03:00:00,21.64 -2015-03-16T04:00:00,22.95 -2015-03-16T05:00:00,25.12 -2015-03-16T06:00:00,40.06 -2015-03-16T07:00:00,43.93 -2015-03-16T08:00:00,40.44 -2015-03-16T09:00:00,31.37 -2015-03-16T10:00:00,26.02 -2015-03-16T11:00:00,25.42 -2015-03-16T12:00:00,24.02 -2015-03-16T13:00:00,23.76 -2015-03-16T14:00:00,23.94 -2015-03-16T15:00:00,25.24 -2015-03-16T16:00:00,27.29 -2015-03-16T17:00:00,38.45 -2015-03-16T18:00:00,49 -2015-03-16T19:00:00,56.51 -2015-03-16T20:00:00,40.6 -2015-03-16T21:00:00,33.99 -2015-03-16T22:00:00,30.01 -2015-03-16T23:00:00,23.93 -2015-03-17T00:00:00,22.89 -2015-03-17T01:00:00,22.68 -2015-03-17T02:00:00,22.17 -2015-03-17T03:00:00,23.02 -2015-03-17T04:00:00,23.46 -2015-03-17T05:00:00,25.42 -2015-03-17T06:00:00,33.43 -2015-03-17T07:00:00,43.51 -2015-03-17T08:00:00,40.23 -2015-03-17T09:00:00,29.9 -2015-03-17T10:00:00,27.06 -2015-03-17T11:00:00,26.57 -2015-03-17T12:00:00,25.32 -2015-03-17T13:00:00,25.12 -2015-03-17T14:00:00,26.42 -2015-03-17T15:00:00,29.37 -2015-03-17T16:00:00,32.99 -2015-03-17T17:00:00,43.52 -2015-03-17T18:00:00,47.92 -2015-03-17T19:00:00,55.64 -2015-03-17T20:00:00,44.21 -2015-03-17T21:00:00,33.86 -2015-03-17T22:00:00,33.56 -2015-03-17T23:00:00,28.11 -2015-03-18T00:00:00,27.42 -2015-03-18T01:00:00,28.51 -2015-03-18T02:00:00,27.81 -2015-03-18T03:00:00,27.84 -2015-03-18T04:00:00,27.51 -2015-03-18T05:00:00,29.46 -2015-03-18T06:00:00,38.91 -2015-03-18T07:00:00,47.44 -2015-03-18T08:00:00,43.95 -2015-03-18T09:00:00,33.92 -2015-03-18T10:00:00,30.12 -2015-03-18T11:00:00,32.39 -2015-03-18T12:00:00,30.91 -2015-03-18T13:00:00,30.57 -2015-03-18T14:00:00,31.08 -2015-03-18T15:00:00,35.18 -2015-03-18T16:00:00,39.26 -2015-03-18T17:00:00,43.45 -2015-03-18T18:00:00,52.07 -2015-03-18T19:00:00,60.04 -2015-03-18T20:00:00,50.63 -2015-03-18T21:00:00,41.56 -2015-03-18T22:00:00,35.1 -2015-03-18T23:00:00,29.31 -2015-03-19T00:00:00,29.29 -2015-03-19T01:00:00,29.53 -2015-03-19T02:00:00,28.95 -2015-03-19T03:00:00,28.3 -2015-03-19T04:00:00,28.16 -2015-03-19T05:00:00,31.08 -2015-03-19T06:00:00,41.96 -2015-03-19T07:00:00,50.93 -2015-03-19T08:00:00,46.01 -2015-03-19T09:00:00,33.61 -2015-03-19T10:00:00,30.33 -2015-03-19T11:00:00,29.97 -2015-03-19T12:00:00,29.51 -2015-03-19T13:00:00,29.64 -2015-03-19T14:00:00,30.26 -2015-03-19T15:00:00,31.97 -2015-03-19T16:00:00,35.83 -2015-03-19T17:00:00,43.91 -2015-03-19T18:00:00,54.8 -2015-03-19T19:00:00,65.67 -2015-03-19T20:00:00,48.51 -2015-03-19T21:00:00,42.91 -2015-03-19T22:00:00,41.94 -2015-03-19T23:00:00,30.48 -2015-03-20T00:00:00,32.21 -2015-03-20T01:00:00,32.39 -2015-03-20T02:00:00,30.99 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-2015-03-26T07:00:00,46.95 -2015-03-26T08:00:00,49.98 -2015-03-26T09:00:00,52.9 -2015-03-26T10:00:00,53 -2015-03-26T11:00:00,53.87 -2015-03-26T12:00:00,50.4 -2015-03-26T13:00:00,48.3 -2015-03-26T14:00:00,46.68 -2015-03-26T15:00:00,46.9 -2015-03-26T16:00:00,43.96 -2015-03-26T17:00:00,43.34 -2015-03-26T18:00:00,46.17 -2015-03-26T19:00:00,52.02 -2015-03-26T20:00:00,42.83 -2015-03-26T21:00:00,37.26 -2015-03-26T22:00:00,31.46 -2015-03-26T23:00:00,26.11 -2015-03-27T00:00:00,27.69 -2015-03-27T01:00:00,27.64 -2015-03-27T02:00:00,26.94 -2015-03-27T03:00:00,26.5 -2015-03-27T04:00:00,27.19 -2015-03-27T05:00:00,29.34 -2015-03-27T06:00:00,32.67 -2015-03-27T07:00:00,36.25 -2015-03-27T08:00:00,43.02 -2015-03-27T09:00:00,39.98 -2015-03-27T10:00:00,40.02 -2015-03-27T11:00:00,38.94 -2015-03-27T12:00:00,32.28 -2015-03-27T13:00:00,29.85 -2015-03-27T14:00:00,29.45 -2015-03-27T15:00:00,29.52 -2015-03-27T16:00:00,30.61 -2015-03-27T17:00:00,40.03 -2015-03-27T18:00:00,45.44 -2015-03-27T19:00:00,46.49 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-2015-05-08T11:00:00,33.12 -2015-05-08T12:00:00,32.23 -2015-05-08T13:00:00,27.45 -2015-05-08T14:00:00,25.08 -2015-05-08T15:00:00,25.43 -2015-05-08T16:00:00,25.86 -2015-05-08T17:00:00,30.07 -2015-05-08T18:00:00,33.93 -2015-05-08T19:00:00,37.09 -2015-05-08T20:00:00,35.82 -2015-05-08T21:00:00,33.16 -2015-05-08T22:00:00,31.2 -2015-05-08T23:00:00,26.47 -2015-05-09T00:00:00,21.99 -2015-05-09T01:00:00,20.04 -2015-05-09T02:00:00,18.41 -2015-05-09T03:00:00,15.72 -2015-05-09T04:00:00,15.75 -2015-05-09T05:00:00,15.66 -2015-05-09T06:00:00,16.86 -2015-05-09T07:00:00,18.42 -2015-05-09T08:00:00,22.06 -2015-05-09T09:00:00,21.11 -2015-05-09T10:00:00,19.01 -2015-05-09T11:00:00,17.86 -2015-05-09T12:00:00,17.2 -2015-05-09T13:00:00,13.92 -2015-05-09T14:00:00,9.85 -2015-05-09T15:00:00,7.99 -2015-05-09T16:00:00,9.89 -2015-05-09T17:00:00,14.23 -2015-05-09T18:00:00,17.7 -2015-05-09T19:00:00,19.79 -2015-05-09T20:00:00,20.28 -2015-05-09T21:00:00,20.95 -2015-05-09T22:00:00,20.99 -2015-05-09T23:00:00,19.03 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-2015-05-11T13:00:00,27.91 -2015-05-11T14:00:00,25.41 -2015-05-11T15:00:00,27.03 -2015-05-11T16:00:00,27.74 -2015-05-11T17:00:00,32.6 -2015-05-11T18:00:00,37.96 -2015-05-11T19:00:00,42.11 -2015-05-11T20:00:00,39.72 -2015-05-11T21:00:00,38.01 -2015-05-11T22:00:00,34.92 -2015-05-11T23:00:00,22.95 -2015-05-12T00:00:00,23.59 -2015-05-12T01:00:00,23 -2015-05-12T02:00:00,18.87 -2015-05-12T03:00:00,17.94 -2015-05-12T04:00:00,18.98 -2015-05-12T05:00:00,22.93 -2015-05-12T06:00:00,30.14 -2015-05-12T07:00:00,37.98 -2015-05-12T08:00:00,45.44 -2015-05-12T09:00:00,38.84 -2015-05-12T10:00:00,38.96 -2015-05-12T11:00:00,37.92 -2015-05-12T12:00:00,31.31 -2015-05-12T13:00:00,27.39 -2015-05-12T14:00:00,24.6 -2015-05-12T15:00:00,24.54 -2015-05-12T16:00:00,24.88 -2015-05-12T17:00:00,25.56 -2015-05-12T18:00:00,27.64 -2015-05-12T19:00:00,33.93 -2015-05-12T20:00:00,34 -2015-05-12T21:00:00,34.35 -2015-05-12T22:00:00,34.58 -2015-05-12T23:00:00,27.37 -2015-05-13T00:00:00,21.03 -2015-05-13T01:00:00,18.09 -2015-05-13T02:00:00,18.01 -2015-05-13T03:00:00,16.17 -2015-05-13T04:00:00,16.52 -2015-05-13T05:00:00,19.99 -2015-05-13T06:00:00,27.93 -2015-05-13T07:00:00,32.96 -2015-05-13T08:00:00,36.55 -2015-05-13T09:00:00,30.61 -2015-05-13T10:00:00,24.55 -2015-05-13T11:00:00,23.07 -2015-05-13T12:00:00,22.06 -2015-05-13T13:00:00,22.04 -2015-05-13T14:00:00,21.94 -2015-05-13T15:00:00,22.93 -2015-05-13T16:00:00,23.76 -2015-05-13T17:00:00,27.75 -2015-05-13T18:00:00,32.91 -2015-05-13T19:00:00,36.97 -2015-05-13T20:00:00,37.21 -2015-05-13T21:00:00,36.71 -2015-05-13T22:00:00,35.82 -2015-05-13T23:00:00,27.99 -2015-05-14T00:00:00,25.9 -2015-05-14T01:00:00,21.02 -2015-05-14T02:00:00,18.89 -2015-05-14T03:00:00,18.96 -2015-05-14T04:00:00,17.87 -2015-05-14T05:00:00,17.64 -2015-05-14T06:00:00,16.26 -2015-05-14T07:00:00,18.05 -2015-05-14T08:00:00,18.56 -2015-05-14T09:00:00,18.5 -2015-05-14T10:00:00,18.83 -2015-05-14T11:00:00,19.1 -2015-05-14T12:00:00,18.33 -2015-05-14T13:00:00,16.36 -2015-05-14T14:00:00,17.01 -2015-05-14T15:00:00,16.75 -2015-05-14T16:00:00,17.64 -2015-05-14T17:00:00,17.96 -2015-05-14T18:00:00,23.05 -2015-05-14T19:00:00,25.48 -2015-05-14T20:00:00,25.66 -2015-05-14T21:00:00,25.84 -2015-05-14T22:00:00,27.39 -2015-05-14T23:00:00,24 -2015-05-15T00:00:00,24.99 -2015-05-15T01:00:00,23.42 -2015-05-15T02:00:00,21.04 -2015-05-15T03:00:00,19.63 -2015-05-15T04:00:00,20.63 -2015-05-15T05:00:00,24.28 -2015-05-15T06:00:00,29.91 -2015-05-15T07:00:00,37.95 -2015-05-15T08:00:00,36.98 -2015-05-15T09:00:00,34.98 -2015-05-15T10:00:00,32.36 -2015-05-15T11:00:00,35.04 -2015-05-15T12:00:00,33.62 -2015-05-15T13:00:00,29.27 -2015-05-15T14:00:00,25.63 -2015-05-15T15:00:00,25.08 -2015-05-15T16:00:00,24.85 -2015-05-15T17:00:00,28.08 -2015-05-15T18:00:00,36.55 -2015-05-15T19:00:00,39.92 -2015-05-15T20:00:00,36.69 -2015-05-15T21:00:00,36.62 -2015-05-15T22:00:00,39.48 -2015-05-15T23:00:00,36.85 -2015-05-16T00:00:00,26.03 -2015-05-16T01:00:00,22.66 -2015-05-16T02:00:00,21.25 -2015-05-16T03:00:00,21.14 -2015-05-16T04:00:00,21.03 -2015-05-16T05:00:00,21.07 -2015-05-16T06:00:00,21.08 -2015-05-16T07:00:00,21.3 -2015-05-16T08:00:00,21.55 -2015-05-16T09:00:00,21.67 -2015-05-16T10:00:00,20.02 -2015-05-16T11:00:00,18.2 -2015-05-16T12:00:00,17.92 -2015-05-16T13:00:00,16.37 -2015-05-16T14:00:00,13.93 -2015-05-16T15:00:00,14.82 -2015-05-16T16:00:00,14.3 -2015-05-16T17:00:00,17.59 -2015-05-16T18:00:00,20.05 -2015-05-16T19:00:00,24.5 -2015-05-16T20:00:00,26 -2015-05-16T21:00:00,26.37 -2015-05-16T22:00:00,25.94 -2015-05-16T23:00:00,17.01 -2015-05-17T00:00:00,12.35 -2015-05-17T01:00:00,10.06 -2015-05-17T02:00:00,10.13 -2015-05-17T03:00:00,10.07 -2015-05-17T04:00:00,6.18 -2015-05-17T05:00:00,3.98 -2015-05-17T06:00:00,3.53 -2015-05-17T07:00:00,8.57 -2015-05-17T08:00:00,11.97 -2015-05-17T09:00:00,13.47 -2015-05-17T10:00:00,14.44 -2015-05-17T11:00:00,13.41 -2015-05-17T12:00:00,10.1 -2015-05-17T13:00:00,5.19 -2015-05-17T14:00:00,-2.02 -2015-05-17T15:00:00,-2.92 -2015-05-17T16:00:00,3.17 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-2015-05-19T06:00:00,29.92 -2015-05-19T07:00:00,39.1 -2015-05-19T08:00:00,39.21 -2015-05-19T09:00:00,36.73 -2015-05-19T10:00:00,31.44 -2015-05-19T11:00:00,31.88 -2015-05-19T12:00:00,27.4 -2015-05-19T13:00:00,26.25 -2015-05-19T14:00:00,25.49 -2015-05-19T15:00:00,24.99 -2015-05-19T16:00:00,25.04 -2015-05-19T17:00:00,26.42 -2015-05-19T18:00:00,30.94 -2015-05-19T19:00:00,35.92 -2015-05-19T20:00:00,37.7 -2015-05-19T21:00:00,37.11 -2015-05-19T22:00:00,36.99 -2015-05-19T23:00:00,30.08 -2015-05-20T00:00:00,28.41 -2015-05-20T01:00:00,24.94 -2015-05-20T02:00:00,22.38 -2015-05-20T03:00:00,21.08 -2015-05-20T04:00:00,21.26 -2015-05-20T05:00:00,24.79 -2015-05-20T06:00:00,31.67 -2015-05-20T07:00:00,47.17 -2015-05-20T08:00:00,56.11 -2015-05-20T09:00:00,47.11 -2015-05-20T10:00:00,49.1 -2015-05-20T11:00:00,47 -2015-05-20T12:00:00,42.77 -2015-05-20T13:00:00,38.55 -2015-05-20T14:00:00,33.53 -2015-05-20T15:00:00,31.45 -2015-05-20T16:00:00,29.78 -2015-05-20T17:00:00,32.01 -2015-05-20T18:00:00,34.77 -2015-05-20T19:00:00,37.47 -2015-05-20T20:00:00,36.53 -2015-05-20T21:00:00,33.93 -2015-05-20T22:00:00,35.17 -2015-05-20T23:00:00,27.4 -2015-05-21T00:00:00,27.2 -2015-05-21T01:00:00,26.02 -2015-05-21T02:00:00,25.89 -2015-05-21T03:00:00,23.77 -2015-05-21T04:00:00,24.7 -2015-05-21T05:00:00,27.1 -2015-05-21T06:00:00,34.03 -2015-05-21T07:00:00,43 -2015-05-21T08:00:00,49.97 -2015-05-21T09:00:00,42.82 -2015-05-21T10:00:00,40.01 -2015-05-21T11:00:00,40.28 -2015-05-21T12:00:00,36.09 -2015-05-21T13:00:00,33.44 -2015-05-21T14:00:00,31.61 -2015-05-21T15:00:00,29.93 -2015-05-21T16:00:00,29.62 -2015-05-21T17:00:00,30.97 -2015-05-21T18:00:00,34.98 -2015-05-21T19:00:00,39.96 -2015-05-21T20:00:00,39.64 -2015-05-21T21:00:00,37 -2015-05-21T22:00:00,37.76 -2015-05-21T23:00:00,30.02 -2015-05-22T00:00:00,29.95 -2015-05-22T01:00:00,26.33 -2015-05-22T02:00:00,24.33 -2015-05-22T03:00:00,23.74 -2015-05-22T04:00:00,23.79 -2015-05-22T05:00:00,25.28 -2015-05-22T06:00:00,33.99 -2015-05-22T07:00:00,40.72 -2015-05-22T08:00:00,40.52 -2015-05-22T09:00:00,35.25 -2015-05-22T10:00:00,31.41 -2015-05-22T11:00:00,31 -2015-05-22T12:00:00,28.53 -2015-05-22T13:00:00,28.13 -2015-05-22T14:00:00,26.97 -2015-05-22T15:00:00,27.93 -2015-05-22T16:00:00,28.42 -2015-05-22T17:00:00,30.21 -2015-05-22T18:00:00,33.97 -2015-05-22T19:00:00,36.17 -2015-05-22T20:00:00,35.92 -2015-05-22T21:00:00,35.68 -2015-05-22T22:00:00,36.12 -2015-05-22T23:00:00,34.2 -2015-05-23T00:00:00,30.11 -2015-05-23T01:00:00,25.54 -2015-05-23T02:00:00,24.23 -2015-05-23T03:00:00,20.96 -2015-05-23T04:00:00,20.53 -2015-05-23T05:00:00,20.22 -2015-05-23T06:00:00,20.21 -2015-05-23T07:00:00,22.61 -2015-05-23T08:00:00,24.92 -2015-05-23T09:00:00,26.08 -2015-05-23T10:00:00,25.6 -2015-05-23T11:00:00,25.53 -2015-05-23T12:00:00,24.3 -2015-05-23T13:00:00,22.18 -2015-05-23T14:00:00,20.42 -2015-05-23T15:00:00,19.48 -2015-05-23T16:00:00,19.42 -2015-05-23T17:00:00,21.9 -2015-05-23T18:00:00,25.76 -2015-05-23T19:00:00,29.57 -2015-05-23T20:00:00,29.35 -2015-05-23T21:00:00,29.58 -2015-05-23T22:00:00,30 -2015-05-23T23:00:00,27.67 -2015-05-24T00:00:00,25.24 -2015-05-24T01:00:00,19.84 -2015-05-24T02:00:00,19.06 -2015-05-24T03:00:00,17.88 -2015-05-24T04:00:00,17.55 -2015-05-24T05:00:00,15.96 -2015-05-24T06:00:00,14.94 -2015-05-24T07:00:00,16.15 -2015-05-24T08:00:00,17.48 -2015-05-24T09:00:00,19.3 -2015-05-24T10:00:00,19.86 -2015-05-24T11:00:00,20.08 -2015-05-24T12:00:00,19.42 -2015-05-24T13:00:00,18.1 -2015-05-24T14:00:00,15.76 -2015-05-24T15:00:00,14.78 -2015-05-24T16:00:00,14.97 -2015-05-24T17:00:00,16.01 -2015-05-24T18:00:00,20.12 -2015-05-24T19:00:00,23.71 -2015-05-24T20:00:00,24.5 -2015-05-24T21:00:00,27.8 -2015-05-24T22:00:00,29.99 -2015-05-24T23:00:00,24.7 -2015-05-25T00:00:00,21.1 -2015-05-25T01:00:00,19.31 -2015-05-25T02:00:00,17.92 -2015-05-25T03:00:00,16.1 -2015-05-25T04:00:00,15.91 -2015-05-25T05:00:00,18.58 -2015-05-25T06:00:00,20.98 -2015-05-25T07:00:00,22.09 -2015-05-25T08:00:00,22.94 -2015-05-25T09:00:00,24.09 -2015-05-25T10:00:00,23.99 -2015-05-25T11:00:00,25.01 -2015-05-25T12:00:00,25 -2015-05-25T13:00:00,21.74 -2015-05-25T14:00:00,21.09 -2015-05-25T15:00:00,19.9 -2015-05-25T16:00:00,20.44 -2015-05-25T17:00:00,21.99 -2015-05-25T18:00:00,26.58 -2015-05-25T19:00:00,30.81 -2015-05-25T20:00:00,32.89 -2015-05-25T21:00:00,32.94 -2015-05-25T22:00:00,33.64 -2015-05-25T23:00:00,29.46 -2015-05-26T00:00:00,29.43 -2015-05-26T01:00:00,26.69 -2015-05-26T02:00:00,23.93 -2015-05-26T03:00:00,22.73 -2015-05-26T04:00:00,22.47 -2015-05-26T05:00:00,23.4 -2015-05-26T06:00:00,37.23 -2015-05-26T07:00:00,47.97 -2015-05-26T08:00:00,50.73 -2015-05-26T09:00:00,44.81 -2015-05-26T10:00:00,42.01 -2015-05-26T11:00:00,39.98 -2015-05-26T12:00:00,38.18 -2015-05-26T13:00:00,33.53 -2015-05-26T14:00:00,30.66 -2015-05-26T15:00:00,28.9 -2015-05-26T16:00:00,28.47 -2015-05-26T17:00:00,28.42 -2015-05-26T18:00:00,32.63 -2015-05-26T19:00:00,35.32 -2015-05-26T20:00:00,34.41 -2015-05-26T21:00:00,34.47 -2015-05-26T22:00:00,33.16 -2015-05-26T23:00:00,27.23 -2015-05-27T00:00:00,25.25 -2015-05-27T01:00:00,23.7 -2015-05-27T02:00:00,22.61 -2015-05-27T03:00:00,20.79 -2015-05-27T04:00:00,20.66 -2015-05-27T05:00:00,23.63 -2015-05-27T06:00:00,27.97 -2015-05-27T07:00:00,33.09 -2015-05-27T08:00:00,34.94 -2015-05-27T09:00:00,34 -2015-05-27T10:00:00,34.87 -2015-05-27T11:00:00,34.75 -2015-05-27T12:00:00,35.9 -2015-05-27T13:00:00,35 -2015-05-27T14:00:00,33.82 -2015-05-27T15:00:00,32.13 -2015-05-27T16:00:00,31.97 -2015-05-27T17:00:00,36.84 -2015-05-27T18:00:00,38.02 -2015-05-27T19:00:00,39.98 -2015-05-27T20:00:00,38.17 -2015-05-27T21:00:00,37.96 -2015-05-27T22:00:00,38.19 -2015-05-27T23:00:00,32.89 -2015-05-28T00:00:00,27.04 -2015-05-28T01:00:00,27.66 -2015-05-28T02:00:00,25.09 -2015-05-28T03:00:00,23.77 -2015-05-28T04:00:00,23.95 -2015-05-28T05:00:00,25.08 -2015-05-28T06:00:00,28.91 -2015-05-28T07:00:00,38 -2015-05-28T08:00:00,37.88 -2015-05-28T09:00:00,32.91 -2015-05-28T10:00:00,31.05 -2015-05-28T11:00:00,31.04 -2015-05-28T12:00:00,27.95 -2015-05-28T13:00:00,25.16 -2015-05-28T14:00:00,25.07 -2015-05-28T15:00:00,26.18 -2015-05-28T16:00:00,26.29 -2015-05-28T17:00:00,30.58 -2015-05-28T18:00:00,34.08 -2015-05-28T19:00:00,37.99 -2015-05-28T20:00:00,37.82 -2015-05-28T21:00:00,37.95 -2015-05-28T22:00:00,37.34 -2015-05-28T23:00:00,33.03 -2015-05-29T00:00:00,27.81 -2015-05-29T01:00:00,26.53 -2015-05-29T02:00:00,25.57 -2015-05-29T03:00:00,25.01 -2015-05-29T04:00:00,26.01 -2015-05-29T05:00:00,26.6 -2015-05-29T06:00:00,34.27 -2015-05-29T07:00:00,39.29 -2015-05-29T08:00:00,40.56 -2015-05-29T09:00:00,36.02 -2015-05-29T10:00:00,34.46 -2015-05-29T11:00:00,35.64 -2015-05-29T12:00:00,31.08 -2015-05-29T13:00:00,29.64 -2015-05-29T14:00:00,28.69 -2015-05-29T15:00:00,28.24 -2015-05-29T16:00:00,28.44 -2015-05-29T17:00:00,30.86 -2015-05-29T18:00:00,32.48 -2015-05-29T19:00:00,34.84 -2015-05-29T20:00:00,34.97 -2015-05-29T21:00:00,32.52 -2015-05-29T22:00:00,31.37 -2015-05-29T23:00:00,26.08 -2015-05-30T00:00:00,22.21 -2015-05-30T01:00:00,18.92 -2015-05-30T02:00:00,17.53 -2015-05-30T03:00:00,18.01 -2015-05-30T04:00:00,17.29 -2015-05-30T05:00:00,17.1 -2015-05-30T06:00:00,17.71 -2015-05-30T07:00:00,17.06 -2015-05-30T08:00:00,24.04 -2015-05-30T09:00:00,24.08 -2015-05-30T10:00:00,18.6 -2015-05-30T11:00:00,18.67 -2015-05-30T12:00:00,15.34 -2015-05-30T13:00:00,15.01 -2015-05-30T14:00:00,15.16 -2015-05-30T15:00:00,14.98 -2015-05-30T16:00:00,14.51 -2015-05-30T17:00:00,18.05 -2015-05-30T18:00:00,27.03 -2015-05-30T19:00:00,30.96 -2015-05-30T20:00:00,34.22 -2015-05-30T21:00:00,34.4 -2015-05-30T22:00:00,34.94 -2015-05-30T23:00:00,31.3 -2015-05-31T00:00:00,22.09 -2015-05-31T01:00:00,19.26 -2015-05-31T02:00:00,17.23 -2015-05-31T03:00:00,15.94 -2015-05-31T04:00:00,15.11 -2015-05-31T05:00:00,14.23 -2015-05-31T06:00:00,12.07 -2015-05-31T07:00:00,11.12 -2015-05-31T08:00:00,13.89 -2015-05-31T09:00:00,15.92 -2015-05-31T10:00:00,15.55 -2015-05-31T11:00:00,15.88 -2015-05-31T12:00:00,14.3 -2015-05-31T13:00:00,13.24 -2015-05-31T14:00:00,11.15 -2015-05-31T15:00:00,10.14 -2015-05-31T16:00:00,10.69 -2015-05-31T17:00:00,13.58 -2015-05-31T18:00:00,16.22 -2015-05-31T19:00:00,18 -2015-05-31T20:00:00,17.4 -2015-05-31T21:00:00,18.14 -2015-05-31T22:00:00,20.18 -2015-05-31T23:00:00,15.96 -2015-06-01T00:00:00,13.42 -2015-06-01T01:00:00,14.53 -2015-06-01T02:00:00,11.16 -2015-06-01T03:00:00,14.51 -2015-06-01T04:00:00,14 -2015-06-01T05:00:00,15.91 -2015-06-01T06:00:00,25.95 -2015-06-01T07:00:00,34.52 -2015-06-01T08:00:00,37.98 -2015-06-01T09:00:00,37.86 -2015-06-01T10:00:00,39.01 -2015-06-01T11:00:00,38.92 -2015-06-01T12:00:00,38.79 -2015-06-01T13:00:00,39.72 -2015-06-01T14:00:00,38.2 -2015-06-01T15:00:00,35.75 -2015-06-01T16:00:00,35.73 -2015-06-01T17:00:00,39.22 -2015-06-01T18:00:00,40.59 -2015-06-01T19:00:00,43.98 -2015-06-01T20:00:00,41.65 -2015-06-01T21:00:00,37.23 -2015-06-01T22:00:00,36.98 -2015-06-01T23:00:00,28.91 -2015-06-02T00:00:00,24.24 -2015-06-02T01:00:00,22.05 -2015-06-02T02:00:00,20.37 -2015-06-02T03:00:00,16.75 -2015-06-02T04:00:00,16 -2015-06-02T05:00:00,17.73 -2015-06-02T06:00:00,24.33 -2015-06-02T07:00:00,30.75 -2015-06-02T08:00:00,31.72 -2015-06-02T09:00:00,27.67 -2015-06-02T10:00:00,24.23 -2015-06-02T11:00:00,23.02 -2015-06-02T12:00:00,18.72 -2015-06-02T13:00:00,18.05 -2015-06-02T14:00:00,17.46 -2015-06-02T15:00:00,17.32 -2015-06-02T16:00:00,17.4 -2015-06-02T17:00:00,17.55 -2015-06-02T18:00:00,24.03 -2015-06-02T19:00:00,27.97 -2015-06-02T20:00:00,27.1 -2015-06-02T21:00:00,25.2 -2015-06-02T22:00:00,23.62 -2015-06-02T23:00:00,15.44 -2015-06-03T00:00:00,14.92 -2015-06-03T01:00:00,11.17 -2015-06-03T02:00:00,8.7 -2015-06-03T03:00:00,4.89 -2015-06-03T04:00:00,8.25 -2015-06-03T05:00:00,16.15 -2015-06-03T06:00:00,26.34 -2015-06-03T07:00:00,39.46 -2015-06-03T08:00:00,39.36 -2015-06-03T09:00:00,33.94 -2015-06-03T10:00:00,29.92 -2015-06-03T11:00:00,29.9 -2015-06-03T12:00:00,26.44 -2015-06-03T13:00:00,25.06 -2015-06-03T14:00:00,24.88 -2015-06-03T15:00:00,25.06 -2015-06-03T16:00:00,25.99 -2015-06-03T17:00:00,33.12 -2015-06-03T18:00:00,38.1 -2015-06-03T19:00:00,42.08 -2015-06-03T20:00:00,43.48 -2015-06-03T21:00:00,41.57 -2015-06-03T22:00:00,40.79 -2015-06-03T23:00:00,36.43 -2015-06-04T00:00:00,37.45 -2015-06-04T01:00:00,30.78 -2015-06-04T02:00:00,30.04 -2015-06-04T03:00:00,29.33 -2015-06-04T04:00:00,28.64 -2015-06-04T05:00:00,26.89 -2015-06-04T06:00:00,31.47 -2015-06-04T07:00:00,34.06 -2015-06-04T08:00:00,31.63 -2015-06-04T09:00:00,28.08 -2015-06-04T10:00:00,24.99 -2015-06-04T11:00:00,23.02 -2015-06-04T12:00:00,21.12 -2015-06-04T13:00:00,19.72 -2015-06-04T14:00:00,18.73 -2015-06-04T15:00:00,19.03 -2015-06-04T16:00:00,20.01 -2015-06-04T17:00:00,27.94 -2015-06-04T18:00:00,33.79 -2015-06-04T19:00:00,36.92 -2015-06-04T20:00:00,37.79 -2015-06-04T21:00:00,36.34 -2015-06-04T22:00:00,36.63 -2015-06-04T23:00:00,29.9 -2015-06-05T00:00:00,25.37 -2015-06-05T01:00:00,24.01 -2015-06-05T02:00:00,22.89 -2015-06-05T03:00:00,20.13 -2015-06-05T04:00:00,22.01 -2015-06-05T05:00:00,23.78 -2015-06-05T06:00:00,30.66 -2015-06-05T07:00:00,35.96 -2015-06-05T08:00:00,37.91 -2015-06-05T09:00:00,34.95 -2015-06-05T10:00:00,28.75 -2015-06-05T11:00:00,27.18 -2015-06-05T12:00:00,24.23 -2015-06-05T13:00:00,22.95 -2015-06-05T14:00:00,22.29 -2015-06-05T15:00:00,23.3 -2015-06-05T16:00:00,25.96 -2015-06-05T17:00:00,32.97 -2015-06-05T18:00:00,39.96 -2015-06-05T19:00:00,45.14 -2015-06-05T20:00:00,42.5 -2015-06-05T21:00:00,36.14 -2015-06-05T22:00:00,35.06 -2015-06-05T23:00:00,26.58 -2015-06-06T00:00:00,24.24 -2015-06-06T01:00:00,21.94 -2015-06-06T02:00:00,18.13 -2015-06-06T03:00:00,18.01 -2015-06-06T04:00:00,20.02 -2015-06-06T05:00:00,19.42 -2015-06-06T06:00:00,20.85 -2015-06-06T07:00:00,23.95 -2015-06-06T08:00:00,24.77 -2015-06-06T09:00:00,26.21 -2015-06-06T10:00:00,25.07 -2015-06-06T11:00:00,24.72 -2015-06-06T12:00:00,19.76 -2015-06-06T13:00:00,18.47 -2015-06-06T14:00:00,20.18 -2015-06-06T15:00:00,18.07 -2015-06-06T16:00:00,18.57 -2015-06-06T17:00:00,23.07 -2015-06-06T18:00:00,26.5 -2015-06-06T19:00:00,30.93 -2015-06-06T20:00:00,32.05 -2015-06-06T21:00:00,31.48 -2015-06-06T22:00:00,32.76 -2015-06-06T23:00:00,27.92 -2015-06-07T00:00:00,18.59 -2015-06-07T01:00:00,15.58 -2015-06-07T02:00:00,17.35 -2015-06-07T03:00:00,15.67 -2015-06-07T04:00:00,15.26 -2015-06-07T05:00:00,14.21 -2015-06-07T06:00:00,13.13 -2015-06-07T07:00:00,12.02 -2015-06-07T08:00:00,13 -2015-06-07T09:00:00,16.89 -2015-06-07T10:00:00,14.66 -2015-06-07T11:00:00,17.03 -2015-06-07T12:00:00,14 -2015-06-07T13:00:00,9.73 -2015-06-07T14:00:00,11.98 -2015-06-07T15:00:00,12.45 -2015-06-07T16:00:00,13.58 -2015-06-07T17:00:00,16.66 -2015-06-07T18:00:00,22.69 -2015-06-07T19:00:00,30.03 -2015-06-07T20:00:00,29.98 -2015-06-07T21:00:00,29.9 -2015-06-07T22:00:00,32.39 -2015-06-07T23:00:00,25.54 -2015-06-08T00:00:00,24.29 -2015-06-08T01:00:00,21.53 -2015-06-08T02:00:00,18.94 -2015-06-08T03:00:00,16.23 -2015-06-08T04:00:00,16.22 -2015-06-08T05:00:00,18.1 -2015-06-08T06:00:00,31.54 -2015-06-08T07:00:00,40.39 -2015-06-08T08:00:00,44.91 -2015-06-08T09:00:00,39.6 -2015-06-08T10:00:00,37.49 -2015-06-08T11:00:00,38.19 -2015-06-08T12:00:00,32.61 -2015-06-08T13:00:00,31.98 -2015-06-08T14:00:00,30.62 -2015-06-08T15:00:00,30.28 -2015-06-08T16:00:00,29.98 -2015-06-08T17:00:00,32.92 -2015-06-08T18:00:00,34.73 -2015-06-08T19:00:00,36.97 -2015-06-08T20:00:00,34.97 -2015-06-08T21:00:00,33.99 -2015-06-08T22:00:00,32.91 -2015-06-08T23:00:00,25.87 -2015-06-09T00:00:00,25.01 -2015-06-09T01:00:00,22.68 -2015-06-09T02:00:00,19.05 -2015-06-09T03:00:00,17.94 -2015-06-09T04:00:00,17.34 -2015-06-09T05:00:00,22.04 -2015-06-09T06:00:00,31.61 -2015-06-09T07:00:00,38.06 -2015-06-09T08:00:00,40.49 -2015-06-09T09:00:00,39.92 -2015-06-09T10:00:00,40.33 -2015-06-09T11:00:00,47.01 -2015-06-09T12:00:00,44.94 -2015-06-09T13:00:00,41.73 -2015-06-09T14:00:00,40.91 -2015-06-09T15:00:00,39.46 -2015-06-09T16:00:00,34.96 -2015-06-09T17:00:00,35.04 -2015-06-09T18:00:00,36.13 -2015-06-09T19:00:00,38.1 -2015-06-09T20:00:00,38.16 -2015-06-09T21:00:00,35.29 -2015-06-09T22:00:00,34.91 -2015-06-09T23:00:00,29.65 -2015-06-10T00:00:00,27.99 -2015-06-10T01:00:00,25.59 -2015-06-10T02:00:00,24.59 -2015-06-10T03:00:00,23.05 -2015-06-10T04:00:00,23.75 -2015-06-10T05:00:00,24.1 -2015-06-10T06:00:00,32.97 -2015-06-10T07:00:00,41.44 -2015-06-10T08:00:00,41.96 -2015-06-10T09:00:00,36.67 -2015-06-10T10:00:00,35.06 -2015-06-10T11:00:00,34.26 -2015-06-10T12:00:00,31.16 -2015-06-10T13:00:00,31.13 -2015-06-10T14:00:00,29.7 -2015-06-10T15:00:00,30.77 -2015-06-10T16:00:00,32.94 -2015-06-10T17:00:00,34.96 -2015-06-10T18:00:00,38.46 -2015-06-10T19:00:00,39.7 -2015-06-10T20:00:00,37.08 -2015-06-10T21:00:00,35.13 -2015-06-10T22:00:00,35.92 -2015-06-10T23:00:00,29.95 -2015-06-11T00:00:00,28.31 -2015-06-11T01:00:00,25.98 -2015-06-11T02:00:00,25.91 -2015-06-11T03:00:00,24.02 -2015-06-11T04:00:00,24.06 -2015-06-11T05:00:00,26.69 -2015-06-11T06:00:00,31.52 -2015-06-11T07:00:00,42.29 -2015-06-11T08:00:00,45.97 -2015-06-11T09:00:00,42.96 -2015-06-11T10:00:00,40.4 -2015-06-11T11:00:00,39.9 -2015-06-11T12:00:00,35.21 -2015-06-11T13:00:00,34.04 -2015-06-11T14:00:00,32.77 -2015-06-11T15:00:00,33.94 -2015-06-11T16:00:00,35.94 -2015-06-11T17:00:00,43.06 -2015-06-11T18:00:00,42.91 -2015-06-11T19:00:00,44.96 -2015-06-11T20:00:00,41.79 -2015-06-11T21:00:00,41.19 -2015-06-11T22:00:00,40.96 -2015-06-11T23:00:00,33.39 -2015-06-12T00:00:00,30.03 -2015-06-12T01:00:00,29.46 -2015-06-12T02:00:00,26.9 -2015-06-12T03:00:00,25.88 -2015-06-12T04:00:00,24.89 -2015-06-12T05:00:00,26.54 -2015-06-12T06:00:00,33.14 -2015-06-12T07:00:00,42.41 -2015-06-12T08:00:00,44.92 -2015-06-12T09:00:00,44.45 -2015-06-12T10:00:00,41.85 -2015-06-12T11:00:00,40.75 -2015-06-12T12:00:00,35.15 -2015-06-12T13:00:00,32.02 -2015-06-12T14:00:00,30.14 -2015-06-12T15:00:00,31.95 -2015-06-12T16:00:00,32.18 -2015-06-12T17:00:00,35.4 -2015-06-12T18:00:00,40.72 -2015-06-12T19:00:00,40.05 -2015-06-12T20:00:00,40.08 -2015-06-12T21:00:00,40.91 -2015-06-12T22:00:00,41.02 -2015-06-12T23:00:00,34 -2015-06-13T00:00:00,27.3 -2015-06-13T01:00:00,26.59 -2015-06-13T02:00:00,25.09 -2015-06-13T03:00:00,23.52 -2015-06-13T04:00:00,23.08 -2015-06-13T05:00:00,23.58 -2015-06-13T06:00:00,24.92 -2015-06-13T07:00:00,24.9 -2015-06-13T08:00:00,27.97 -2015-06-13T09:00:00,30.61 -2015-06-13T10:00:00,29.63 -2015-06-13T11:00:00,29.49 -2015-06-13T12:00:00,28.24 -2015-06-13T13:00:00,26.08 -2015-06-13T14:00:00,23.5 -2015-06-13T15:00:00,21.99 -2015-06-13T16:00:00,21.82 -2015-06-13T17:00:00,23.33 -2015-06-13T18:00:00,27.59 -2015-06-13T19:00:00,29.63 -2015-06-13T20:00:00,29.73 -2015-06-13T21:00:00,29.05 -2015-06-13T22:00:00,31.43 -2015-06-13T23:00:00,27.07 -2015-06-14T00:00:00,19.08 -2015-06-14T01:00:00,13.55 -2015-06-14T02:00:00,15.77 -2015-06-14T03:00:00,14.86 -2015-06-14T04:00:00,13.38 -2015-06-14T05:00:00,10.24 -2015-06-14T06:00:00,10.24 -2015-06-14T07:00:00,14.53 -2015-06-14T08:00:00,15.66 -2015-06-14T09:00:00,16.64 -2015-06-14T10:00:00,16.74 -2015-06-14T11:00:00,17.61 -2015-06-14T12:00:00,15.09 -2015-06-14T13:00:00,17.03 -2015-06-14T14:00:00,15.74 -2015-06-14T15:00:00,13.93 -2015-06-14T16:00:00,14.59 -2015-06-14T17:00:00,18.02 -2015-06-14T18:00:00,24.85 -2015-06-14T19:00:00,27.06 -2015-06-14T20:00:00,29.93 -2015-06-14T21:00:00,30.21 -2015-06-14T22:00:00,31.97 -2015-06-14T23:00:00,27.04 -2015-06-15T00:00:00,22.87 -2015-06-15T01:00:00,20.01 -2015-06-15T02:00:00,17.34 -2015-06-15T03:00:00,16.35 -2015-06-15T04:00:00,16 -2015-06-15T05:00:00,18.55 -2015-06-15T06:00:00,29.78 -2015-06-15T07:00:00,37.64 -2015-06-15T08:00:00,40.34 -2015-06-15T09:00:00,40.1 -2015-06-15T10:00:00,38.99 -2015-06-15T11:00:00,38.4 -2015-06-15T12:00:00,39.9 -2015-06-15T13:00:00,38.85 -2015-06-15T14:00:00,34 -2015-06-15T15:00:00,30.38 -2015-06-15T16:00:00,31.01 -2015-06-15T17:00:00,36.09 -2015-06-15T18:00:00,40.54 -2015-06-15T19:00:00,40.54 -2015-06-15T20:00:00,37.05 -2015-06-15T21:00:00,35.2 -2015-06-15T22:00:00,36.86 -2015-06-15T23:00:00,28.89 -2015-06-16T00:00:00,27.64 -2015-06-16T01:00:00,26.02 -2015-06-16T02:00:00,25.22 -2015-06-16T03:00:00,24.42 -2015-06-16T04:00:00,25.03 -2015-06-16T05:00:00,26.04 -2015-06-16T06:00:00,35.65 -2015-06-16T07:00:00,48.15 -2015-06-16T08:00:00,50.97 -2015-06-16T09:00:00,46.66 -2015-06-16T10:00:00,46.77 -2015-06-16T11:00:00,49.7 -2015-06-16T12:00:00,42.73 -2015-06-16T13:00:00,40.67 -2015-06-16T14:00:00,39.49 -2015-06-16T15:00:00,36.94 -2015-06-16T16:00:00,36.41 -2015-06-16T17:00:00,38.18 -2015-06-16T18:00:00,40.02 -2015-06-16T19:00:00,44 -2015-06-16T20:00:00,40.6 -2015-06-16T21:00:00,38.94 -2015-06-16T22:00:00,38.92 -2015-06-16T23:00:00,30.02 -2015-06-17T00:00:00,26.2 -2015-06-17T01:00:00,24.92 -2015-06-17T02:00:00,24.57 -2015-06-17T03:00:00,22.56 -2015-06-17T04:00:00,24.09 -2015-06-17T05:00:00,24.91 -2015-06-17T06:00:00,30.96 -2015-06-17T07:00:00,41.3 -2015-06-17T08:00:00,43.21 -2015-06-17T09:00:00,38.65 -2015-06-17T10:00:00,30.43 -2015-06-17T11:00:00,30.92 -2015-06-17T12:00:00,29.21 -2015-06-17T13:00:00,28.45 -2015-06-17T14:00:00,27.09 -2015-06-17T15:00:00,26.92 -2015-06-17T16:00:00,27.72 -2015-06-17T17:00:00,31.96 -2015-06-17T18:00:00,36.6 -2015-06-17T19:00:00,38.13 -2015-06-17T20:00:00,39.73 -2015-06-17T21:00:00,39.26 -2015-06-17T22:00:00,36.46 -2015-06-17T23:00:00,28.41 -2015-06-18T00:00:00,28.88 -2015-06-18T01:00:00,26.06 -2015-06-18T02:00:00,24.57 -2015-06-18T03:00:00,22.91 -2015-06-18T04:00:00,22.95 -2015-06-18T05:00:00,24.92 -2015-06-18T06:00:00,32.76 -2015-06-18T07:00:00,39.86 -2015-06-18T08:00:00,40.64 -2015-06-18T09:00:00,40.01 -2015-06-18T10:00:00,36.46 -2015-06-18T11:00:00,38.96 -2015-06-18T12:00:00,35.68 -2015-06-18T13:00:00,38.31 -2015-06-18T14:00:00,37.42 -2015-06-18T15:00:00,32.98 -2015-06-18T16:00:00,31.92 -2015-06-18T17:00:00,29.53 -2015-06-18T18:00:00,32.34 -2015-06-18T19:00:00,35.22 -2015-06-18T20:00:00,35.09 -2015-06-18T21:00:00,34.19 -2015-06-18T22:00:00,32.58 -2015-06-18T23:00:00,27.56 -2015-06-19T00:00:00,27.91 -2015-06-19T01:00:00,26.79 -2015-06-19T02:00:00,24.77 -2015-06-19T03:00:00,23.95 -2015-06-19T04:00:00,23.72 -2015-06-19T05:00:00,26.02 -2015-06-19T06:00:00,31.99 -2015-06-19T07:00:00,37.88 -2015-06-19T08:00:00,41.8 -2015-06-19T09:00:00,40.71 -2015-06-19T10:00:00,36.01 -2015-06-19T11:00:00,34.33 -2015-06-19T12:00:00,33.29 -2015-06-19T13:00:00,34.99 -2015-06-19T14:00:00,30.46 -2015-06-19T15:00:00,29.44 -2015-06-19T16:00:00,29.88 -2015-06-19T17:00:00,30.68 -2015-06-19T18:00:00,35.07 -2015-06-19T19:00:00,37.47 -2015-06-19T20:00:00,36.81 -2015-06-19T21:00:00,35.51 -2015-06-19T22:00:00,38.03 -2015-06-19T23:00:00,30.01 -2015-06-20T00:00:00,33.22 -2015-06-20T01:00:00,27.05 -2015-06-20T02:00:00,25.97 -2015-06-20T03:00:00,24.88 -2015-06-20T04:00:00,24.72 -2015-06-20T05:00:00,22.44 -2015-06-20T06:00:00,24.69 -2015-06-20T07:00:00,26.48 -2015-06-20T08:00:00,30.86 -2015-06-20T09:00:00,32.83 -2015-06-20T10:00:00,32.11 -2015-06-20T11:00:00,30.94 -2015-06-20T12:00:00,28.71 -2015-06-20T13:00:00,24.64 -2015-06-20T14:00:00,20.09 -2015-06-20T15:00:00,21.9 -2015-06-20T16:00:00,22.02 -2015-06-20T17:00:00,24.73 -2015-06-20T18:00:00,30.23 -2015-06-20T19:00:00,33.74 -2015-06-20T20:00:00,33.67 -2015-06-20T21:00:00,34.05 -2015-06-20T22:00:00,36.17 -2015-06-20T23:00:00,27.73 -2015-06-21T00:00:00,25.97 -2015-06-21T01:00:00,22.65 -2015-06-21T02:00:00,20.02 -2015-06-21T03:00:00,18.15 -2015-06-21T04:00:00,18.96 -2015-06-21T05:00:00,15.84 -2015-06-21T06:00:00,15.84 -2015-06-21T07:00:00,18.96 -2015-06-21T08:00:00,20.48 -2015-06-21T09:00:00,22.63 -2015-06-21T10:00:00,23.77 -2015-06-21T11:00:00,26.21 -2015-06-21T12:00:00,23.71 -2015-06-21T13:00:00,15.52 -2015-06-21T14:00:00,15.53 -2015-06-21T15:00:00,16.94 -2015-06-21T16:00:00,15.33 -2015-06-21T17:00:00,22.47 -2015-06-21T18:00:00,28.99 -2015-06-21T19:00:00,31.95 -2015-06-21T20:00:00,37.88 -2015-06-21T21:00:00,36.47 -2015-06-21T22:00:00,36.99 -2015-06-21T23:00:00,31.95 -2015-06-22T00:00:00,24.87 -2015-06-22T01:00:00,24.33 -2015-06-22T02:00:00,22.3 -2015-06-22T03:00:00,19.08 -2015-06-22T04:00:00,18.88 -2015-06-22T05:00:00,21 -2015-06-22T06:00:00,30.35 -2015-06-22T07:00:00,41.09 -2015-06-22T08:00:00,43.47 -2015-06-22T09:00:00,43.53 -2015-06-22T10:00:00,43.72 -2015-06-22T11:00:00,43.52 -2015-06-22T12:00:00,38.24 -2015-06-22T13:00:00,39.7 -2015-06-22T14:00:00,35.31 -2015-06-22T15:00:00,34.66 -2015-06-22T16:00:00,33.04 -2015-06-22T17:00:00,35.09 -2015-06-22T18:00:00,35.59 -2015-06-22T19:00:00,37.69 -2015-06-22T20:00:00,38.99 -2015-06-22T21:00:00,35.5 -2015-06-22T22:00:00,31.04 -2015-06-22T23:00:00,27.05 -2015-06-23T00:00:00,27.07 -2015-06-23T01:00:00,26.87 -2015-06-23T02:00:00,26.36 -2015-06-23T03:00:00,24.88 -2015-06-23T04:00:00,24.87 -2015-06-23T05:00:00,26.85 -2015-06-23T06:00:00,30.46 -2015-06-23T07:00:00,38.28 -2015-06-23T08:00:00,42.28 -2015-06-23T09:00:00,40.28 -2015-06-23T10:00:00,40.42 -2015-06-23T11:00:00,40.39 -2015-06-23T12:00:00,32.84 -2015-06-23T13:00:00,31 -2015-06-23T14:00:00,30.35 -2015-06-23T15:00:00,29.34 -2015-06-23T16:00:00,27.51 -2015-06-23T17:00:00,29.88 -2015-06-23T18:00:00,33.92 -2015-06-23T19:00:00,35.9 -2015-06-23T20:00:00,35 -2015-06-23T21:00:00,33.4 -2015-06-23T22:00:00,29.95 -2015-06-23T23:00:00,26.68 -2015-06-24T00:00:00,24.85 -2015-06-24T01:00:00,23.05 -2015-06-24T02:00:00,20.36 -2015-06-24T03:00:00,17.94 -2015-06-24T04:00:00,22.08 -2015-06-24T05:00:00,25.65 -2015-06-24T06:00:00,29.12 -2015-06-24T07:00:00,36.34 -2015-06-24T08:00:00,34.93 -2015-06-24T09:00:00,33.63 -2015-06-24T10:00:00,31.04 -2015-06-24T11:00:00,30.83 -2015-06-24T12:00:00,29.46 -2015-06-24T13:00:00,29.43 -2015-06-24T14:00:00,29.45 -2015-06-24T15:00:00,30.65 -2015-06-24T16:00:00,29.5 -2015-06-24T17:00:00,32.64 -2015-06-24T18:00:00,36.42 -2015-06-24T19:00:00,37.86 -2015-06-24T20:00:00,38.04 -2015-06-24T21:00:00,39.04 -2015-06-24T22:00:00,38.99 -2015-06-24T23:00:00,32.8 -2015-06-25T00:00:00,31.15 -2015-06-25T01:00:00,29.62 -2015-06-25T02:00:00,27.8 -2015-06-25T03:00:00,26.1 -2015-06-25T04:00:00,26.86 -2015-06-25T05:00:00,29.67 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-2015-06-26T19:00:00,41.03 -2015-06-26T20:00:00,37.28 -2015-06-26T21:00:00,35.7 -2015-06-26T22:00:00,37.94 -2015-06-26T23:00:00,34.38 -2015-06-27T00:00:00,30.28 -2015-06-27T01:00:00,27.2 -2015-06-27T02:00:00,26.73 -2015-06-27T03:00:00,25.54 -2015-06-27T04:00:00,25.1 -2015-06-27T05:00:00,24.07 -2015-06-27T06:00:00,25.13 -2015-06-27T07:00:00,26.08 -2015-06-27T08:00:00,33.21 -2015-06-27T09:00:00,35.48 -2015-06-27T10:00:00,34.91 -2015-06-27T11:00:00,34.13 -2015-06-27T12:00:00,32.34 -2015-06-27T13:00:00,28.14 -2015-06-27T14:00:00,26.43 -2015-06-27T15:00:00,25.05 -2015-06-27T16:00:00,25.06 -2015-06-27T17:00:00,27.01 -2015-06-27T18:00:00,29.41 -2015-06-27T19:00:00,32.5 -2015-06-27T20:00:00,32.76 -2015-06-27T21:00:00,32.65 -2015-06-27T22:00:00,34.98 -2015-06-27T23:00:00,30.9 -2015-06-28T00:00:00,21.26 -2015-06-28T01:00:00,18.59 -2015-06-28T02:00:00,16.94 -2015-06-28T03:00:00,19.08 -2015-06-28T04:00:00,16.3 -2015-06-28T05:00:00,15.27 -2015-06-28T06:00:00,15.08 -2015-06-28T07:00:00,15.06 -2015-06-28T08:00:00,15.3 -2015-06-28T09:00:00,15.56 -2015-06-28T10:00:00,15.04 -2015-06-28T11:00:00,16.07 -2015-06-28T12:00:00,15.23 -2015-06-28T13:00:00,14.94 -2015-06-28T14:00:00,14.3 -2015-06-28T15:00:00,14.68 -2015-06-28T16:00:00,15.55 -2015-06-28T17:00:00,17.42 -2015-06-28T18:00:00,28.72 -2015-06-28T19:00:00,35.02 -2015-06-28T20:00:00,36.92 -2015-06-28T21:00:00,35.53 -2015-06-28T22:00:00,38.92 -2015-06-28T23:00:00,36.86 -2015-06-29T00:00:00,33.51 -2015-06-29T01:00:00,29.23 -2015-06-29T02:00:00,26.9 -2015-06-29T03:00:00,25.94 -2015-06-29T04:00:00,25.34 -2015-06-29T05:00:00,27.08 -2015-06-29T06:00:00,34.98 -2015-06-29T07:00:00,43.93 -2015-06-29T08:00:00,47.62 -2015-06-29T09:00:00,43.93 -2015-06-29T10:00:00,41.55 -2015-06-29T11:00:00,40.02 -2015-06-29T12:00:00,34.55 -2015-06-29T13:00:00,32.62 -2015-06-29T14:00:00,31.69 -2015-06-29T15:00:00,32.17 -2015-06-29T16:00:00,34.5 -2015-06-29T17:00:00,39.46 -2015-06-29T18:00:00,39.13 -2015-06-29T19:00:00,43.96 -2015-06-29T20:00:00,43.94 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-2015-07-01T10:00:00,34.22 -2015-07-01T11:00:00,31.99 -2015-07-01T12:00:00,30.04 -2015-07-01T13:00:00,28.77 -2015-07-01T14:00:00,29.43 -2015-07-01T15:00:00,29.99 -2015-07-01T16:00:00,30.04 -2015-07-01T17:00:00,34.94 -2015-07-01T18:00:00,37.28 -2015-07-01T19:00:00,42.58 -2015-07-01T20:00:00,42.42 -2015-07-01T21:00:00,39.68 -2015-07-01T22:00:00,36.98 -2015-07-01T23:00:00,28.39 -2015-07-02T00:00:00,28.74 -2015-07-02T01:00:00,28.08 -2015-07-02T02:00:00,27.31 -2015-07-02T03:00:00,26.07 -2015-07-02T04:00:00,27.49 -2015-07-02T05:00:00,28.19 -2015-07-02T06:00:00,35.11 -2015-07-02T07:00:00,42.45 -2015-07-02T08:00:00,43.12 -2015-07-02T09:00:00,35.91 -2015-07-02T10:00:00,32.52 -2015-07-02T11:00:00,28.72 -2015-07-02T12:00:00,28.15 -2015-07-02T13:00:00,27.54 -2015-07-02T14:00:00,26.73 -2015-07-02T15:00:00,28.49 -2015-07-02T16:00:00,33.1 -2015-07-02T17:00:00,40 -2015-07-02T18:00:00,44.28 -2015-07-02T19:00:00,48.26 -2015-07-02T20:00:00,44.2 -2015-07-02T21:00:00,40.97 -2015-07-02T22:00:00,37.95 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-2015-07-04T12:00:00,28.15 -2015-07-04T13:00:00,28.12 -2015-07-04T14:00:00,27.67 -2015-07-04T15:00:00,28.68 -2015-07-04T16:00:00,30.91 -2015-07-04T17:00:00,39.29 -2015-07-04T18:00:00,43.99 -2015-07-04T19:00:00,44.14 -2015-07-04T20:00:00,40.05 -2015-07-04T21:00:00,38.99 -2015-07-04T22:00:00,39.89 -2015-07-04T23:00:00,34.5 -2015-07-05T00:00:00,30.44 -2015-07-05T01:00:00,29.47 -2015-07-05T02:00:00,29.43 -2015-07-05T03:00:00,27.94 -2015-07-05T04:00:00,28.97 -2015-07-05T05:00:00,26.06 -2015-07-05T06:00:00,25.25 -2015-07-05T07:00:00,25.58 -2015-07-05T08:00:00,26.08 -2015-07-05T09:00:00,26.1 -2015-07-05T10:00:00,24.77 -2015-07-05T11:00:00,24.01 -2015-07-05T12:00:00,24.36 -2015-07-05T13:00:00,23.08 -2015-07-05T14:00:00,22.72 -2015-07-05T15:00:00,24.02 -2015-07-05T16:00:00,24.74 -2015-07-05T17:00:00,28.65 -2015-07-05T18:00:00,32.56 -2015-07-05T19:00:00,33.91 -2015-07-05T20:00:00,34.95 -2015-07-05T21:00:00,35.07 -2015-07-05T22:00:00,39.98 -2015-07-05T23:00:00,30.55 -2015-07-06T00:00:00,28.78 -2015-07-06T01:00:00,24.55 -2015-07-06T02:00:00,20.8 -2015-07-06T03:00:00,15.94 -2015-07-06T04:00:00,15.51 -2015-07-06T05:00:00,24.08 -2015-07-06T06:00:00,29.72 -2015-07-06T07:00:00,43.16 -2015-07-06T08:00:00,44.2 -2015-07-06T09:00:00,37.95 -2015-07-06T10:00:00,34.99 -2015-07-06T11:00:00,31.48 -2015-07-06T12:00:00,28.72 -2015-07-06T13:00:00,27.11 -2015-07-06T14:00:00,26.03 -2015-07-06T15:00:00,28.23 -2015-07-06T16:00:00,29.08 -2015-07-06T17:00:00,44.01 -2015-07-06T18:00:00,50.51 -2015-07-06T19:00:00,65 -2015-07-06T20:00:00,65.05 -2015-07-06T21:00:00,59.94 -2015-07-06T22:00:00,61.95 -2015-07-06T23:00:00,52.49 -2015-07-07T00:00:00,51.68 -2015-07-07T01:00:00,40.83 -2015-07-07T02:00:00,38.9 -2015-07-07T03:00:00,34.92 -2015-07-07T04:00:00,35.32 -2015-07-07T05:00:00,38.97 -2015-07-07T06:00:00,47.97 -2015-07-07T07:00:00,62.06 -2015-07-07T08:00:00,65 -2015-07-07T09:00:00,62.95 -2015-07-07T10:00:00,56.91 -2015-07-07T11:00:00,57.42 -2015-07-07T12:00:00,46.35 -2015-07-07T13:00:00,45.4 -2015-07-07T14:00:00,45.01 -2015-07-07T15:00:00,46.95 -2015-07-07T16:00:00,51.51 -2015-07-07T17:00:00,54.06 -2015-07-07T18:00:00,56.77 -2015-07-07T19:00:00,57.65 -2015-07-07T20:00:00,49.46 -2015-07-07T21:00:00,44.9 -2015-07-07T22:00:00,47.06 -2015-07-07T23:00:00,38.33 -2015-07-08T00:00:00,28.48 -2015-07-08T01:00:00,27.96 -2015-07-08T02:00:00,29.03 -2015-07-08T03:00:00,25.65 -2015-07-08T04:00:00,25.29 -2015-07-08T05:00:00,24.92 -2015-07-08T06:00:00,32.94 -2015-07-08T07:00:00,37.96 -2015-07-08T08:00:00,41.2 -2015-07-08T09:00:00,38.47 -2015-07-08T10:00:00,35.92 -2015-07-08T11:00:00,32.83 -2015-07-08T12:00:00,24.67 -2015-07-08T13:00:00,20.79 -2015-07-08T14:00:00,15.87 -2015-07-08T15:00:00,15.84 -2015-07-08T16:00:00,15.9 -2015-07-08T17:00:00,27.42 -2015-07-08T18:00:00,29.07 -2015-07-08T19:00:00,37.81 -2015-07-08T20:00:00,39.27 -2015-07-08T21:00:00,38.02 -2015-07-08T22:00:00,35.93 -2015-07-08T23:00:00,28.49 -2015-07-09T00:00:00,26.47 -2015-07-09T01:00:00,25.23 -2015-07-09T02:00:00,25.41 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-2015-07-21T11:00:00,50.94 -2015-07-21T12:00:00,45.82 -2015-07-21T13:00:00,37.88 -2015-07-21T14:00:00,36.08 -2015-07-21T15:00:00,39.27 -2015-07-21T16:00:00,43.97 -2015-07-21T17:00:00,48.92 -2015-07-21T18:00:00,56.55 -2015-07-21T19:00:00,66.39 -2015-07-21T20:00:00,60.83 -2015-07-21T21:00:00,55.92 -2015-07-21T22:00:00,55.13 -2015-07-21T23:00:00,48.65 -2015-07-22T00:00:00,37.83 -2015-07-22T01:00:00,37.61 -2015-07-22T02:00:00,35.64 -2015-07-22T03:00:00,31.82 -2015-07-22T04:00:00,32.22 -2015-07-22T05:00:00,35 -2015-07-22T06:00:00,44.24 -2015-07-22T07:00:00,53.64 -2015-07-22T08:00:00,56.92 -2015-07-22T09:00:00,52.51 -2015-07-22T10:00:00,55.09 -2015-07-22T11:00:00,54.15 -2015-07-22T12:00:00,49.96 -2015-07-22T13:00:00,48.07 -2015-07-22T14:00:00,48.02 -2015-07-22T15:00:00,49.15 -2015-07-22T16:00:00,51.27 -2015-07-22T17:00:00,52.9 -2015-07-22T18:00:00,50.72 -2015-07-22T19:00:00,51.7 -2015-07-22T20:00:00,50.56 -2015-07-22T21:00:00,49.98 -2015-07-22T22:00:00,49.94 -2015-07-22T23:00:00,41.89 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-2015-07-24T13:00:00,49.95 -2015-07-24T14:00:00,48.78 -2015-07-24T15:00:00,47.92 -2015-07-24T16:00:00,48 -2015-07-24T17:00:00,49.6 -2015-07-24T18:00:00,51.28 -2015-07-24T19:00:00,49.94 -2015-07-24T20:00:00,45.93 -2015-07-24T21:00:00,43.1 -2015-07-24T22:00:00,42.75 -2015-07-24T23:00:00,34.05 -2015-07-25T00:00:00,22.41 -2015-07-25T01:00:00,19.6 -2015-07-25T02:00:00,16.19 -2015-07-25T03:00:00,16.12 -2015-07-25T04:00:00,16.15 -2015-07-25T05:00:00,15.62 -2015-07-25T06:00:00,15.08 -2015-07-25T07:00:00,22.62 -2015-07-25T08:00:00,25.3 -2015-07-25T09:00:00,24.71 -2015-07-25T10:00:00,20.85 -2015-07-25T11:00:00,16.78 -2015-07-25T12:00:00,16.19 -2015-07-25T13:00:00,12.92 -2015-07-25T14:00:00,6.1 -2015-07-25T15:00:00,5.57 -2015-07-25T16:00:00,10.57 -2015-07-25T17:00:00,14.7 -2015-07-25T18:00:00,16.17 -2015-07-25T19:00:00,15.76 -2015-07-25T20:00:00,15.97 -2015-07-25T21:00:00,15.06 -2015-07-25T22:00:00,12.95 -2015-07-25T23:00:00,6.53 -2015-07-26T00:00:00,-0.09 -2015-07-26T01:00:00,-5.31 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-2015-08-01T06:00:00,22.13 -2015-08-01T07:00:00,22.22 -2015-08-01T08:00:00,24.45 -2015-08-01T09:00:00,23.49 -2015-08-01T10:00:00,17.07 -2015-08-01T11:00:00,16.18 -2015-08-01T12:00:00,15.35 -2015-08-01T13:00:00,12.76 -2015-08-01T14:00:00,12.78 -2015-08-01T15:00:00,14.22 -2015-08-01T16:00:00,16.02 -2015-08-01T17:00:00,25.01 -2015-08-01T18:00:00,30.03 -2015-08-01T19:00:00,32.86 -2015-08-01T20:00:00,30.27 -2015-08-01T21:00:00,30.27 -2015-08-01T22:00:00,31.07 -2015-08-01T23:00:00,25.37 -2015-08-02T00:00:00,17.09 -2015-08-02T01:00:00,16 -2015-08-02T02:00:00,14.93 -2015-08-02T03:00:00,14.56 -2015-08-02T04:00:00,15.04 -2015-08-02T05:00:00,14.82 -2015-08-02T06:00:00,15.32 -2015-08-02T07:00:00,15.58 -2015-08-02T08:00:00,14.93 -2015-08-02T09:00:00,14.16 -2015-08-02T10:00:00,12.71 -2015-08-02T11:00:00,13.89 -2015-08-02T12:00:00,11.5 -2015-08-02T13:00:00,10.03 -2015-08-02T14:00:00,9.2 -2015-08-02T15:00:00,9.66 -2015-08-02T16:00:00,12.06 -2015-08-02T17:00:00,15.05 -2015-08-02T18:00:00,22.36 -2015-08-02T19:00:00,27.98 -2015-08-02T20:00:00,30.01 -2015-08-02T21:00:00,33.02 -2015-08-02T22:00:00,29.95 -2015-08-02T23:00:00,25.03 -2015-08-03T00:00:00,23.03 -2015-08-03T01:00:00,17.02 -2015-08-03T02:00:00,16.02 -2015-08-03T03:00:00,15 -2015-08-03T04:00:00,14.09 -2015-08-03T05:00:00,19.08 -2015-08-03T06:00:00,25.25 -2015-08-03T07:00:00,33.82 -2015-08-03T08:00:00,38.55 -2015-08-03T09:00:00,36.98 -2015-08-03T10:00:00,34.31 -2015-08-03T11:00:00,31.4 -2015-08-03T12:00:00,26.39 -2015-08-03T13:00:00,25.24 -2015-08-03T14:00:00,24.03 -2015-08-03T15:00:00,25.43 -2015-08-03T16:00:00,26.57 -2015-08-03T17:00:00,34.38 -2015-08-03T18:00:00,37.78 -2015-08-03T19:00:00,40.97 -2015-08-03T20:00:00,40.86 -2015-08-03T21:00:00,40.83 -2015-08-03T22:00:00,39 -2015-08-03T23:00:00,28.39 -2015-08-04T00:00:00,26.69 -2015-08-04T01:00:00,26 -2015-08-04T02:00:00,24.56 -2015-08-04T03:00:00,19.08 -2015-08-04T04:00:00,21.98 -2015-08-04T05:00:00,25.39 -2015-08-04T06:00:00,28 -2015-08-04T07:00:00,37.96 -2015-08-04T08:00:00,36.99 -2015-08-04T09:00:00,36.33 -2015-08-04T10:00:00,35.94 -2015-08-04T11:00:00,35.96 -2015-08-04T12:00:00,33.98 -2015-08-04T13:00:00,30.44 -2015-08-04T14:00:00,32.44 -2015-08-04T15:00:00,37.64 -2015-08-04T16:00:00,38.98 -2015-08-04T17:00:00,39.93 -2015-08-04T18:00:00,39.94 -2015-08-04T19:00:00,39.9 -2015-08-04T20:00:00,40.27 -2015-08-04T21:00:00,38.37 -2015-08-04T22:00:00,38.62 -2015-08-04T23:00:00,31.39 -2015-08-05T00:00:00,30.4 -2015-08-05T01:00:00,28.86 -2015-08-05T02:00:00,28.05 -2015-08-05T03:00:00,25.18 -2015-08-05T04:00:00,24.07 -2015-08-05T05:00:00,27.33 -2015-08-05T06:00:00,33.79 -2015-08-05T07:00:00,40.89 -2015-08-05T08:00:00,43.75 -2015-08-05T09:00:00,41.03 -2015-08-05T10:00:00,38.74 -2015-08-05T11:00:00,36.9 -2015-08-05T12:00:00,31.42 -2015-08-05T13:00:00,29.58 -2015-08-05T14:00:00,29.55 -2015-08-05T15:00:00,29.2 -2015-08-05T16:00:00,29.8 -2015-08-05T17:00:00,37.54 -2015-08-05T18:00:00,44.03 -2015-08-05T19:00:00,46.9 -2015-08-05T20:00:00,41.92 -2015-08-05T21:00:00,43.93 -2015-08-05T22:00:00,41.18 -2015-08-05T23:00:00,31.33 -2015-08-06T00:00:00,30.24 -2015-08-06T01:00:00,27.95 -2015-08-06T02:00:00,25.14 -2015-08-06T03:00:00,23.21 -2015-08-06T04:00:00,23.02 -2015-08-06T05:00:00,25.46 -2015-08-06T06:00:00,31.32 -2015-08-06T07:00:00,39.94 -2015-08-06T08:00:00,42.72 -2015-08-06T09:00:00,38.42 -2015-08-06T10:00:00,36.91 -2015-08-06T11:00:00,34.58 -2015-08-06T12:00:00,30.49 -2015-08-06T13:00:00,29.02 -2015-08-06T14:00:00,28.74 -2015-08-06T15:00:00,28.78 -2015-08-06T16:00:00,30.93 -2015-08-06T17:00:00,38.93 -2015-08-06T18:00:00,43.03 -2015-08-06T19:00:00,48.92 -2015-08-06T20:00:00,45.18 -2015-08-06T21:00:00,44.93 -2015-08-06T22:00:00,42.87 -2015-08-06T23:00:00,35.95 -2015-08-07T00:00:00,30.35 -2015-08-07T01:00:00,28.73 -2015-08-07T02:00:00,26.56 -2015-08-07T03:00:00,25.36 -2015-08-07T04:00:00,25.28 -2015-08-07T05:00:00,27.4 -2015-08-07T06:00:00,32.28 -2015-08-07T07:00:00,38.68 -2015-08-07T08:00:00,39.82 -2015-08-07T09:00:00,38.93 -2015-08-07T10:00:00,38.82 -2015-08-07T11:00:00,36.95 -2015-08-07T12:00:00,32.56 -2015-08-07T13:00:00,29.32 -2015-08-07T14:00:00,28.87 -2015-08-07T15:00:00,29.14 -2015-08-07T16:00:00,30.99 -2015-08-07T17:00:00,38.96 -2015-08-07T18:00:00,42.3 -2015-08-07T19:00:00,43.97 -2015-08-07T20:00:00,41.41 -2015-08-07T21:00:00,41.57 -2015-08-07T22:00:00,40.98 -2015-08-07T23:00:00,31.98 -2015-08-08T00:00:00,31.22 -2015-08-08T01:00:00,27.38 -2015-08-08T02:00:00,26.23 -2015-08-08T03:00:00,25.21 -2015-08-08T04:00:00,23.05 -2015-08-08T05:00:00,23.04 -2015-08-08T06:00:00,25.24 -2015-08-08T07:00:00,28.31 -2015-08-08T08:00:00,29.91 -2015-08-08T09:00:00,31.56 -2015-08-08T10:00:00,28.02 -2015-08-08T11:00:00,27.2 -2015-08-08T12:00:00,25.24 -2015-08-08T13:00:00,23.49 -2015-08-08T14:00:00,22.14 -2015-08-08T15:00:00,24.11 -2015-08-08T16:00:00,25.28 -2015-08-08T17:00:00,29.57 -2015-08-08T18:00:00,31.95 -2015-08-08T19:00:00,33.96 -2015-08-08T20:00:00,33.91 -2015-08-08T21:00:00,34.92 -2015-08-08T22:00:00,35.26 -2015-08-08T23:00:00,32.65 -2015-08-09T00:00:00,27.02 -2015-08-09T01:00:00,25.28 -2015-08-09T02:00:00,24.04 -2015-08-09T03:00:00,22.95 -2015-08-09T04:00:00,22.2 -2015-08-09T05:00:00,22.01 -2015-08-09T06:00:00,21.87 -2015-08-09T07:00:00,21.43 -2015-08-09T08:00:00,22.64 -2015-08-09T09:00:00,23.94 -2015-08-09T10:00:00,25.11 -2015-08-09T11:00:00,26.12 -2015-08-09T12:00:00,23.72 -2015-08-09T13:00:00,23.84 -2015-08-09T14:00:00,23.08 -2015-08-09T15:00:00,23.08 -2015-08-09T16:00:00,24.59 -2015-08-09T17:00:00,28.12 -2015-08-09T18:00:00,35.94 -2015-08-09T19:00:00,37.92 -2015-08-09T20:00:00,36.46 -2015-08-09T21:00:00,36.99 -2015-08-09T22:00:00,36.89 -2015-08-09T23:00:00,32.4 -2015-08-10T00:00:00,30.6 -2015-08-10T01:00:00,27.19 -2015-08-10T02:00:00,25.49 -2015-08-10T03:00:00,23.49 -2015-08-10T04:00:00,23.04 -2015-08-10T05:00:00,25.24 -2015-08-10T06:00:00,37.57 -2015-08-10T07:00:00,41.74 -2015-08-10T08:00:00,43.8 -2015-08-10T09:00:00,40.42 -2015-08-10T10:00:00,39.48 -2015-08-10T11:00:00,39.95 -2015-08-10T12:00:00,36.92 -2015-08-10T13:00:00,35.93 -2015-08-10T14:00:00,31.68 -2015-08-10T15:00:00,31.4 -2015-08-10T16:00:00,34.77 -2015-08-10T17:00:00,39.9 -2015-08-10T18:00:00,39.92 -2015-08-10T19:00:00,39.92 -2015-08-10T20:00:00,36.97 -2015-08-10T21:00:00,36.91 -2015-08-10T22:00:00,31.83 -2015-08-10T23:00:00,29.38 -2015-08-11T00:00:00,29.94 -2015-08-11T01:00:00,28.92 -2015-08-11T02:00:00,27.73 -2015-08-11T03:00:00,26.94 -2015-08-11T04:00:00,27.03 -2015-08-11T05:00:00,29.54 -2015-08-11T06:00:00,37.01 -2015-08-11T07:00:00,44.79 -2015-08-11T08:00:00,46.45 -2015-08-11T09:00:00,45.67 -2015-08-11T10:00:00,45.07 -2015-08-11T11:00:00,47.24 -2015-08-11T12:00:00,43.91 -2015-08-11T13:00:00,40.46 -2015-08-11T14:00:00,36.97 -2015-08-11T15:00:00,36.98 -2015-08-11T16:00:00,38.88 -2015-08-11T17:00:00,43.98 -2015-08-11T18:00:00,43.99 -2015-08-11T19:00:00,44.98 -2015-08-11T20:00:00,44.29 -2015-08-11T21:00:00,45.09 -2015-08-11T22:00:00,42.48 -2015-08-11T23:00:00,32.58 -2015-08-12T00:00:00,29.98 -2015-08-12T01:00:00,28.7 -2015-08-12T02:00:00,27.94 -2015-08-12T03:00:00,26.94 -2015-08-12T04:00:00,27.21 -2015-08-12T05:00:00,29.06 -2015-08-12T06:00:00,37.02 -2015-08-12T07:00:00,45.29 -2015-08-12T08:00:00,42.85 -2015-08-12T09:00:00,43.09 -2015-08-12T10:00:00,42.1 -2015-08-12T11:00:00,44.11 -2015-08-12T12:00:00,40.41 -2015-08-12T13:00:00,37.94 -2015-08-12T14:00:00,36.99 -2015-08-12T15:00:00,37.16 -2015-08-12T16:00:00,39.3 -2015-08-12T17:00:00,42.77 -2015-08-12T18:00:00,42.02 -2015-08-12T19:00:00,43.37 -2015-08-12T20:00:00,43.07 -2015-08-12T21:00:00,43.95 -2015-08-12T22:00:00,40.86 -2015-08-12T23:00:00,29.97 -2015-08-13T00:00:00,28.87 -2015-08-13T01:00:00,28.55 -2015-08-13T02:00:00,25.92 -2015-08-13T03:00:00,25.67 -2015-08-13T04:00:00,25.43 -2015-08-13T05:00:00,27.12 -2015-08-13T06:00:00,31.24 -2015-08-13T07:00:00,40.95 -2015-08-13T08:00:00,44.14 -2015-08-13T09:00:00,42.06 -2015-08-13T10:00:00,40 -2015-08-13T11:00:00,39.44 -2015-08-13T12:00:00,35.84 -2015-08-13T13:00:00,31.77 -2015-08-13T14:00:00,31.1 -2015-08-13T15:00:00,31.02 -2015-08-13T16:00:00,32.92 -2015-08-13T17:00:00,40.13 -2015-08-13T18:00:00,42.02 -2015-08-13T19:00:00,41.98 -2015-08-13T20:00:00,39.92 -2015-08-13T21:00:00,37.26 -2015-08-13T22:00:00,30.89 -2015-08-13T23:00:00,26.73 -2015-08-14T00:00:00,24.09 -2015-08-14T01:00:00,23.55 -2015-08-14T02:00:00,17.54 -2015-08-14T03:00:00,18.28 -2015-08-14T04:00:00,17.06 -2015-08-14T05:00:00,25.07 -2015-08-14T06:00:00,28.79 -2015-08-14T07:00:00,36.76 -2015-08-14T08:00:00,35.5 -2015-08-14T09:00:00,36.94 -2015-08-14T10:00:00,32.93 -2015-08-14T11:00:00,31.09 -2015-08-14T12:00:00,28.6 -2015-08-14T13:00:00,27.77 -2015-08-14T14:00:00,26.16 -2015-08-14T15:00:00,27.02 -2015-08-14T16:00:00,29.56 -2015-08-14T17:00:00,39.07 -2015-08-14T18:00:00,38.92 -2015-08-14T19:00:00,38.95 -2015-08-14T20:00:00,37.52 -2015-08-14T21:00:00,38.5 -2015-08-14T22:00:00,38.68 -2015-08-14T23:00:00,32.94 -2015-08-15T00:00:00,32 -2015-08-15T01:00:00,27.72 -2015-08-15T02:00:00,29.15 -2015-08-15T03:00:00,27.71 -2015-08-15T04:00:00,26.53 -2015-08-15T05:00:00,24.81 -2015-08-15T06:00:00,26.01 -2015-08-15T07:00:00,27.06 -2015-08-15T08:00:00,30.43 -2015-08-15T09:00:00,33.42 -2015-08-15T10:00:00,36.44 -2015-08-15T11:00:00,35.83 -2015-08-15T12:00:00,36.24 -2015-08-15T13:00:00,34.89 -2015-08-15T14:00:00,30.04 -2015-08-15T15:00:00,27.94 -2015-08-15T16:00:00,30.32 -2015-08-15T17:00:00,36 -2015-08-15T18:00:00,37.47 -2015-08-15T19:00:00,38.99 -2015-08-15T20:00:00,38.13 -2015-08-15T21:00:00,39.91 -2015-08-15T22:00:00,38.95 -2015-08-15T23:00:00,31.17 -2015-08-16T00:00:00,31.34 -2015-08-16T01:00:00,29.35 -2015-08-16T02:00:00,28.07 -2015-08-16T03:00:00,27.09 -2015-08-16T04:00:00,27.04 -2015-08-16T05:00:00,27.03 -2015-08-16T06:00:00,26.87 -2015-08-16T07:00:00,26.99 -2015-08-16T08:00:00,28.05 -2015-08-16T09:00:00,30.08 -2015-08-16T10:00:00,32.7 -2015-08-16T11:00:00,37.98 -2015-08-16T12:00:00,37.85 -2015-08-16T13:00:00,31.03 -2015-08-16T14:00:00,29.68 -2015-08-16T15:00:00,28.46 -2015-08-16T16:00:00,27.04 -2015-08-16T17:00:00,29.09 -2015-08-16T18:00:00,32.42 -2015-08-16T19:00:00,33.01 -2015-08-16T20:00:00,31.06 -2015-08-16T21:00:00,33.44 -2015-08-16T22:00:00,30.98 -2015-08-16T23:00:00,24.98 -2015-08-17T00:00:00,29.11 -2015-08-17T01:00:00,28.08 -2015-08-17T02:00:00,26.01 -2015-08-17T03:00:00,28 -2015-08-17T04:00:00,26.03 -2015-08-17T05:00:00,28.05 -2015-08-17T06:00:00,34.93 -2015-08-17T07:00:00,43.93 -2015-08-17T08:00:00,46.07 -2015-08-17T09:00:00,48.94 -2015-08-17T10:00:00,51 -2015-08-17T11:00:00,50 -2015-08-17T12:00:00,49.54 -2015-08-17T13:00:00,48.93 -2015-08-17T14:00:00,47.94 -2015-08-17T15:00:00,44.39 -2015-08-17T16:00:00,43.07 -2015-08-17T17:00:00,44.1 -2015-08-17T18:00:00,44.91 -2015-08-17T19:00:00,45.06 -2015-08-17T20:00:00,44.93 -2015-08-17T21:00:00,43.94 -2015-08-17T22:00:00,39.95 -2015-08-17T23:00:00,33.78 -2015-08-18T00:00:00,28.99 -2015-08-18T01:00:00,27.38 -2015-08-18T02:00:00,25.05 -2015-08-18T03:00:00,23.09 -2015-08-18T04:00:00,22.1 -2015-08-18T05:00:00,27.04 -2015-08-18T06:00:00,32.83 -2015-08-18T07:00:00,36.94 -2015-08-18T08:00:00,41.09 -2015-08-18T09:00:00,42.43 -2015-08-18T10:00:00,42.03 -2015-08-18T11:00:00,42.32 -2015-08-18T12:00:00,40.5 -2015-08-18T13:00:00,41.97 -2015-08-18T14:00:00,41.16 -2015-08-18T15:00:00,40.56 -2015-08-18T16:00:00,40.92 -2015-08-18T17:00:00,43.1 -2015-08-18T18:00:00,44.99 -2015-08-18T19:00:00,45.92 -2015-08-18T20:00:00,45.31 -2015-08-18T21:00:00,45.92 -2015-08-18T22:00:00,44.15 -2015-08-18T23:00:00,36.04 -2015-08-19T00:00:00,33.04 -2015-08-19T01:00:00,29.61 -2015-08-19T02:00:00,28.01 -2015-08-19T03:00:00,27.04 -2015-08-19T04:00:00,27.8 -2015-08-19T05:00:00,30.56 -2015-08-19T06:00:00,36.76 -2015-08-19T07:00:00,42.06 -2015-08-19T08:00:00,45.66 -2015-08-19T09:00:00,45.96 -2015-08-19T10:00:00,45.45 -2015-08-19T11:00:00,45.98 -2015-08-19T12:00:00,43.57 -2015-08-19T13:00:00,42.94 -2015-08-19T14:00:00,41.47 -2015-08-19T15:00:00,41.93 -2015-08-19T16:00:00,41.92 -2015-08-19T17:00:00,43.08 -2015-08-19T18:00:00,44.02 -2015-08-19T19:00:00,46.35 -2015-08-19T20:00:00,45.31 -2015-08-19T21:00:00,43.99 -2015-08-19T22:00:00,41.23 -2015-08-19T23:00:00,33.23 -2015-08-20T00:00:00,30.76 -2015-08-20T01:00:00,30.23 -2015-08-20T02:00:00,27.2 -2015-08-20T03:00:00,25.7 -2015-08-20T04:00:00,24.75 -2015-08-20T05:00:00,28.09 -2015-08-20T06:00:00,33.54 -2015-08-20T07:00:00,41.99 -2015-08-20T08:00:00,43.12 -2015-08-20T09:00:00,44.1 -2015-08-20T10:00:00,44.17 -2015-08-20T11:00:00,44.57 -2015-08-20T12:00:00,42 -2015-08-20T13:00:00,40.7 -2015-08-20T14:00:00,39.32 -2015-08-20T15:00:00,39.32 -2015-08-20T16:00:00,37.91 -2015-08-20T17:00:00,40.29 -2015-08-20T18:00:00,42.08 -2015-08-20T19:00:00,42.98 -2015-08-20T20:00:00,42.99 -2015-08-20T21:00:00,42.84 -2015-08-20T22:00:00,37.77 -2015-08-20T23:00:00,29.99 -2015-08-21T00:00:00,25.32 -2015-08-21T01:00:00,24.84 -2015-08-21T02:00:00,25.1 -2015-08-21T03:00:00,24.87 -2015-08-21T04:00:00,25.31 -2015-08-21T05:00:00,28.28 -2015-08-21T06:00:00,33.72 -2015-08-21T07:00:00,37.17 -2015-08-21T08:00:00,39.56 -2015-08-21T09:00:00,39.47 -2015-08-21T10:00:00,37.62 -2015-08-21T11:00:00,35.23 -2015-08-21T12:00:00,28.06 -2015-08-21T13:00:00,26.97 -2015-08-21T14:00:00,26.4 -2015-08-21T15:00:00,27.36 -2015-08-21T16:00:00,28.06 -2015-08-21T17:00:00,34 -2015-08-21T18:00:00,38.99 -2015-08-21T19:00:00,40 -2015-08-21T20:00:00,39.81 -2015-08-21T21:00:00,39.83 -2015-08-21T22:00:00,31.91 -2015-08-21T23:00:00,28.08 -2015-08-22T00:00:00,33.99 -2015-08-22T01:00:00,31.68 -2015-08-22T02:00:00,28.71 -2015-08-22T03:00:00,25.56 -2015-08-22T04:00:00,25.52 -2015-08-22T05:00:00,26.64 -2015-08-22T06:00:00,30.09 -2015-08-22T07:00:00,32.18 -2015-08-22T08:00:00,32.08 -2015-08-22T09:00:00,30.08 -2015-08-22T10:00:00,24.61 -2015-08-22T11:00:00,22 -2015-08-22T12:00:00,20 -2015-08-22T13:00:00,16.31 -2015-08-22T14:00:00,16.26 -2015-08-22T15:00:00,17.2 -2015-08-22T16:00:00,16.3 -2015-08-22T17:00:00,26.09 -2015-08-22T18:00:00,37.12 -2015-08-22T19:00:00,40.62 -2015-08-22T20:00:00,39.92 -2015-08-22T21:00:00,34.03 -2015-08-22T22:00:00,28.89 -2015-08-22T23:00:00,24.66 -2015-08-23T00:00:00,21.42 -2015-08-23T01:00:00,16.73 -2015-08-23T02:00:00,17.14 -2015-08-23T03:00:00,15.64 -2015-08-23T04:00:00,15.06 -2015-08-23T05:00:00,14.41 -2015-08-23T06:00:00,15.16 -2015-08-23T07:00:00,16.07 -2015-08-23T08:00:00,17.13 -2015-08-23T09:00:00,17.21 -2015-08-23T10:00:00,16.43 -2015-08-23T11:00:00,14.52 -2015-08-23T12:00:00,12.85 -2015-08-23T13:00:00,10.04 -2015-08-23T14:00:00,5.28 -2015-08-23T15:00:00,7.92 -2015-08-23T16:00:00,11.72 -2015-08-23T17:00:00,16.02 -2015-08-23T18:00:00,19.42 -2015-08-23T19:00:00,25.65 -2015-08-23T20:00:00,27.6 -2015-08-23T21:00:00,27.42 -2015-08-23T22:00:00,25.09 -2015-08-23T23:00:00,19.03 -2015-08-24T00:00:00,16 -2015-08-24T01:00:00,16.47 -2015-08-24T02:00:00,16.14 -2015-08-24T03:00:00,16.16 -2015-08-24T04:00:00,16.6 -2015-08-24T05:00:00,23.88 -2015-08-24T06:00:00,35.14 -2015-08-24T07:00:00,39.98 -2015-08-24T08:00:00,45.02 -2015-08-24T09:00:00,42.71 -2015-08-24T10:00:00,41.63 -2015-08-24T11:00:00,39.96 -2015-08-24T12:00:00,37.88 -2015-08-24T13:00:00,36.15 -2015-08-24T14:00:00,34.36 -2015-08-24T15:00:00,34.98 -2015-08-24T16:00:00,34.98 -2015-08-24T17:00:00,37.41 -2015-08-24T18:00:00,38.91 -2015-08-24T19:00:00,37.02 -2015-08-24T20:00:00,31.95 -2015-08-24T21:00:00,29.18 -2015-08-24T22:00:00,23.26 -2015-08-24T23:00:00,16.15 -2015-08-25T00:00:00,16.17 -2015-08-25T01:00:00,14.42 -2015-08-25T02:00:00,12.84 -2015-08-25T03:00:00,11.56 -2015-08-25T04:00:00,12.28 -2015-08-25T05:00:00,16.13 -2015-08-25T06:00:00,25.02 -2015-08-25T07:00:00,33.82 -2015-08-25T08:00:00,37.2 -2015-08-25T09:00:00,33.17 -2015-08-25T10:00:00,27.74 -2015-08-25T11:00:00,23.98 -2015-08-25T12:00:00,21.62 -2015-08-25T13:00:00,21.12 -2015-08-25T14:00:00,21.48 -2015-08-25T15:00:00,22.75 -2015-08-25T16:00:00,23.99 -2015-08-25T17:00:00,31.04 -2015-08-25T18:00:00,36.92 -2015-08-25T19:00:00,41.44 -2015-08-25T20:00:00,39.35 -2015-08-25T21:00:00,37 -2015-08-25T22:00:00,34.76 -2015-08-25T23:00:00,28.13 -2015-08-26T00:00:00,25.29 -2015-08-26T01:00:00,23.47 -2015-08-26T02:00:00,20.66 -2015-08-26T03:00:00,20.06 -2015-08-26T04:00:00,19.27 -2015-08-26T05:00:00,23.69 -2015-08-26T06:00:00,31.16 -2015-08-26T07:00:00,38.74 -2015-08-26T08:00:00,36.39 -2015-08-26T09:00:00,33.74 -2015-08-26T10:00:00,29.97 -2015-08-26T11:00:00,28.51 -2015-08-26T12:00:00,25.56 -2015-08-26T13:00:00,25.06 -2015-08-26T14:00:00,24.99 -2015-08-26T15:00:00,25.29 -2015-08-26T16:00:00,28.27 -2015-08-26T17:00:00,32.02 -2015-08-26T18:00:00,38.98 -2015-08-26T19:00:00,44.66 -2015-08-26T20:00:00,42.44 -2015-08-26T21:00:00,35.07 -2015-08-26T22:00:00,26.97 -2015-08-26T23:00:00,23.11 -2015-08-27T00:00:00,16.56 -2015-08-27T01:00:00,16.17 -2015-08-27T02:00:00,16.57 -2015-08-27T03:00:00,16.24 -2015-08-27T04:00:00,17.54 -2015-08-27T05:00:00,23.44 -2015-08-27T06:00:00,28.3 -2015-08-27T07:00:00,32.37 -2015-08-27T08:00:00,35.64 -2015-08-27T09:00:00,37.92 -2015-08-27T10:00:00,32.93 -2015-08-27T11:00:00,33.92 -2015-08-27T12:00:00,28.8 -2015-08-27T13:00:00,28.59 -2015-08-27T14:00:00,29.06 -2015-08-27T15:00:00,32.22 -2015-08-27T16:00:00,36.89 -2015-08-27T17:00:00,40.84 -2015-08-27T18:00:00,41.98 -2015-08-27T19:00:00,43.05 -2015-08-27T20:00:00,43.02 -2015-08-27T21:00:00,41.02 -2015-08-27T22:00:00,37.4 -2015-08-27T23:00:00,30.8 -2015-08-28T00:00:00,28.59 -2015-08-28T01:00:00,27.92 -2015-08-28T02:00:00,28.56 -2015-08-28T03:00:00,27.97 -2015-08-28T04:00:00,27.8 -2015-08-28T05:00:00,30.1 -2015-08-28T06:00:00,42.05 -2015-08-28T07:00:00,48.13 -2015-08-28T08:00:00,51.78 -2015-08-28T09:00:00,51.43 -2015-08-28T10:00:00,50 -2015-08-28T11:00:00,47.36 -2015-08-28T12:00:00,42.96 -2015-08-28T13:00:00,40.01 -2015-08-28T14:00:00,37.08 -2015-08-28T15:00:00,37.59 -2015-08-28T16:00:00,42 -2015-08-28T17:00:00,44.92 -2015-08-28T18:00:00,49.48 -2015-08-28T19:00:00,49.94 -2015-08-28T20:00:00,49 -2015-08-28T21:00:00,48.51 -2015-08-28T22:00:00,42.43 -2015-08-28T23:00:00,38.46 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-2015-08-30T13:00:00,17.33 -2015-08-30T14:00:00,18.01 -2015-08-30T15:00:00,19.17 -2015-08-30T16:00:00,19.98 -2015-08-30T17:00:00,24.27 -2015-08-30T18:00:00,34.8 -2015-08-30T19:00:00,38.8 -2015-08-30T20:00:00,40.98 -2015-08-30T21:00:00,39.09 -2015-08-30T22:00:00,38.91 -2015-08-30T23:00:00,27.94 -2015-08-31T00:00:00,28.19 -2015-08-31T01:00:00,27.98 -2015-08-31T02:00:00,26.71 -2015-08-31T03:00:00,25.09 -2015-08-31T04:00:00,25.02 -2015-08-31T05:00:00,30.29 -2015-08-31T06:00:00,42.98 -2015-08-31T07:00:00,48.01 -2015-08-31T08:00:00,46.92 -2015-08-31T09:00:00,45.03 -2015-08-31T10:00:00,40.2 -2015-08-31T11:00:00,34.15 -2015-08-31T12:00:00,29.53 -2015-08-31T13:00:00,27.92 -2015-08-31T14:00:00,28.93 -2015-08-31T15:00:00,29.34 -2015-08-31T16:00:00,32.08 -2015-08-31T17:00:00,41.81 -2015-08-31T18:00:00,45.08 -2015-08-31T19:00:00,46.61 -2015-08-31T20:00:00,44.76 -2015-08-31T21:00:00,42.44 -2015-08-31T22:00:00,34.97 -2015-08-31T23:00:00,27.95 -2015-09-01T00:00:00,27.72 -2015-09-01T01:00:00,27.15 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-2015-09-04T04:00:00,26.08 -2015-09-04T05:00:00,26.96 -2015-09-04T06:00:00,37.94 -2015-09-04T07:00:00,46.72 -2015-09-04T08:00:00,47.98 -2015-09-04T09:00:00,44.97 -2015-09-04T10:00:00,40.76 -2015-09-04T11:00:00,34.9 -2015-09-04T12:00:00,28.62 -2015-09-04T13:00:00,27.76 -2015-09-04T14:00:00,27.18 -2015-09-04T15:00:00,26.99 -2015-09-04T16:00:00,26.21 -2015-09-04T17:00:00,30.94 -2015-09-04T18:00:00,38.15 -2015-09-04T19:00:00,40.87 -2015-09-04T20:00:00,42.44 -2015-09-04T21:00:00,32.75 -2015-09-04T22:00:00,28.65 -2015-09-04T23:00:00,26.29 -2015-09-05T00:00:00,24.39 -2015-09-05T01:00:00,23.5 -2015-09-05T02:00:00,17.37 -2015-09-05T03:00:00,16.9 -2015-09-05T04:00:00,16.95 -2015-09-05T05:00:00,18.5 -2015-09-05T06:00:00,18.8 -2015-09-05T07:00:00,25.07 -2015-09-05T08:00:00,27.3 -2015-09-05T09:00:00,27.12 -2015-09-05T10:00:00,23.99 -2015-09-05T11:00:00,16.87 -2015-09-05T12:00:00,16.06 -2015-09-05T13:00:00,15.33 -2015-09-05T14:00:00,13.15 -2015-09-05T15:00:00,13.37 -2015-09-05T16:00:00,14.57 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-2015-09-19T14:00:00,25.97 -2015-09-19T15:00:00,26.01 -2015-09-19T16:00:00,28.01 -2015-09-19T17:00:00,32.67 -2015-09-19T18:00:00,38.73 -2015-09-19T19:00:00,43.91 -2015-09-19T20:00:00,44.74 -2015-09-19T21:00:00,38.39 -2015-09-19T22:00:00,35.31 -2015-09-19T23:00:00,30.09 -2015-09-20T00:00:00,23.94 -2015-09-20T01:00:00,17.33 -2015-09-20T02:00:00,15.87 -2015-09-20T03:00:00,16.86 -2015-09-20T04:00:00,16.08 -2015-09-20T05:00:00,16.09 -2015-09-20T06:00:00,16.81 -2015-09-20T07:00:00,16.88 -2015-09-20T08:00:00,20.13 -2015-09-20T09:00:00,19.73 -2015-09-20T10:00:00,19.38 -2015-09-20T11:00:00,19.95 -2015-09-20T12:00:00,18.36 -2015-09-20T13:00:00,15.72 -2015-09-20T14:00:00,15.91 -2015-09-20T15:00:00,16.03 -2015-09-20T16:00:00,16.04 -2015-09-20T17:00:00,21.06 -2015-09-20T18:00:00,29.37 -2015-09-20T19:00:00,37.37 -2015-09-20T20:00:00,38.03 -2015-09-20T21:00:00,33.95 -2015-09-20T22:00:00,33.01 -2015-09-20T23:00:00,31.31 -2015-09-21T00:00:00,26.76 -2015-09-21T01:00:00,23.97 -2015-09-21T02:00:00,21.64 -2015-09-21T03:00:00,22.34 -2015-09-21T04:00:00,21.7 -2015-09-21T05:00:00,26.31 -2015-09-21T06:00:00,42.67 -2015-09-21T07:00:00,49.54 -2015-09-21T08:00:00,50.55 -2015-09-21T09:00:00,46.93 -2015-09-21T10:00:00,42.01 -2015-09-21T11:00:00,38.99 -2015-09-21T12:00:00,34.75 -2015-09-21T13:00:00,30.65 -2015-09-21T14:00:00,29.88 -2015-09-21T15:00:00,32.24 -2015-09-21T16:00:00,37.94 -2015-09-21T17:00:00,44.19 -2015-09-21T18:00:00,47.77 -2015-09-21T19:00:00,52.45 -2015-09-21T20:00:00,48.99 -2015-09-21T21:00:00,42.1 -2015-09-21T22:00:00,38.97 -2015-09-21T23:00:00,28 -2015-09-22T00:00:00,27.19 -2015-09-22T01:00:00,25.74 -2015-09-22T02:00:00,23.58 -2015-09-22T03:00:00,18.56 -2015-09-22T04:00:00,20.45 -2015-09-22T05:00:00,24.25 -2015-09-22T06:00:00,34.11 -2015-09-22T07:00:00,32.53 -2015-09-22T08:00:00,32.57 -2015-09-22T09:00:00,34.22 -2015-09-22T10:00:00,35.9 -2015-09-22T11:00:00,36.07 -2015-09-22T12:00:00,32.75 -2015-09-22T13:00:00,36.73 -2015-09-22T14:00:00,38.25 -2015-09-22T15:00:00,40.37 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-2015-09-24T05:00:00,26.79 -2015-09-24T06:00:00,36.29 -2015-09-24T07:00:00,43.92 -2015-09-24T08:00:00,43.98 -2015-09-24T09:00:00,41.92 -2015-09-24T10:00:00,34.72 -2015-09-24T11:00:00,29.1 -2015-09-24T12:00:00,27 -2015-09-24T13:00:00,27.43 -2015-09-24T14:00:00,27.45 -2015-09-24T15:00:00,27.43 -2015-09-24T16:00:00,28.21 -2015-09-24T17:00:00,33.97 -2015-09-24T18:00:00,40 -2015-09-24T19:00:00,44.94 -2015-09-24T20:00:00,42.1 -2015-09-24T21:00:00,30.03 -2015-09-24T22:00:00,27.87 -2015-09-24T23:00:00,26.69 -2015-09-25T00:00:00,26.05 -2015-09-25T01:00:00,25.44 -2015-09-25T02:00:00,24.05 -2015-09-25T03:00:00,24.05 -2015-09-25T04:00:00,25.22 -2015-09-25T05:00:00,27.55 -2015-09-25T06:00:00,42.04 -2015-09-25T07:00:00,46.99 -2015-09-25T08:00:00,46.94 -2015-09-25T09:00:00,42.04 -2015-09-25T10:00:00,39.91 -2015-09-25T11:00:00,34.92 -2015-09-25T12:00:00,28.74 -2015-09-25T13:00:00,28.58 -2015-09-25T14:00:00,28.78 -2015-09-25T15:00:00,31.45 -2015-09-25T16:00:00,34.24 -2015-09-25T17:00:00,43.92 -2015-09-25T18:00:00,45.97 -2015-09-25T19:00:00,49.36 -2015-09-25T20:00:00,44.99 -2015-09-25T21:00:00,42.08 -2015-09-25T22:00:00,36.31 -2015-09-25T23:00:00,29.55 -2015-09-26T00:00:00,31.72 -2015-09-26T01:00:00,28.63 -2015-09-26T02:00:00,27.86 -2015-09-26T03:00:00,28.51 -2015-09-26T04:00:00,28.64 -2015-09-26T05:00:00,29.76 -2015-09-26T06:00:00,30.01 -2015-09-26T07:00:00,38.34 -2015-09-26T08:00:00,42.07 -2015-09-26T09:00:00,38.05 -2015-09-26T10:00:00,31.82 -2015-09-26T11:00:00,29.04 -2015-09-26T12:00:00,27.34 -2015-09-26T13:00:00,27.57 -2015-09-26T14:00:00,28.4 -2015-09-26T15:00:00,28.68 -2015-09-26T16:00:00,28.66 -2015-09-26T17:00:00,36.76 -2015-09-26T18:00:00,43.71 -2015-09-26T19:00:00,47.97 -2015-09-26T20:00:00,42.29 -2015-09-26T21:00:00,35.44 -2015-09-26T22:00:00,31.07 -2015-09-26T23:00:00,28.31 -2015-09-27T00:00:00,28.07 -2015-09-27T01:00:00,26.03 -2015-09-27T02:00:00,24.01 -2015-09-27T03:00:00,25.13 -2015-09-27T04:00:00,23.78 -2015-09-27T05:00:00,23.48 -2015-09-27T06:00:00,25.49 -2015-09-27T07:00:00,28.5 -2015-09-27T08:00:00,30.09 -2015-09-27T09:00:00,29.06 -2015-09-27T10:00:00,23.33 -2015-09-27T11:00:00,19.05 -2015-09-27T12:00:00,15.96 -2015-09-27T13:00:00,15.09 -2015-09-27T14:00:00,14.31 -2015-09-27T15:00:00,14.5 -2015-09-27T16:00:00,16.83 -2015-09-27T17:00:00,28.09 -2015-09-27T18:00:00,38.97 -2015-09-27T19:00:00,44.93 -2015-09-27T20:00:00,41.94 -2015-09-27T21:00:00,31.96 -2015-09-27T22:00:00,31.43 -2015-09-27T23:00:00,24.27 -2015-09-28T00:00:00,24.37 -2015-09-28T01:00:00,23.97 -2015-09-28T02:00:00,23.9 -2015-09-28T03:00:00,23.43 -2015-09-28T04:00:00,20.16 -2015-09-28T05:00:00,24.84 -2015-09-28T06:00:00,43.25 -2015-09-28T07:00:00,53.33 -2015-09-28T08:00:00,54.42 -2015-09-28T09:00:00,42.59 -2015-09-28T10:00:00,35.85 -2015-09-28T11:00:00,28.58 -2015-09-28T12:00:00,26.87 -2015-09-28T13:00:00,26.72 -2015-09-28T14:00:00,26.71 -2015-09-28T15:00:00,29.04 -2015-09-28T16:00:00,32.06 -2015-09-28T17:00:00,42.42 -2015-09-28T18:00:00,46.95 -2015-09-28T19:00:00,54.99 -2015-09-28T20:00:00,46.42 -2015-09-28T21:00:00,38.9 -2015-09-28T22:00:00,31.26 -2015-09-28T23:00:00,26.19 -2015-09-29T00:00:00,28.51 -2015-09-29T01:00:00,28.47 -2015-09-29T02:00:00,26.04 -2015-09-29T03:00:00,24.87 -2015-09-29T04:00:00,26.55 -2015-09-29T05:00:00,28.5 -2015-09-29T06:00:00,41.59 -2015-09-29T07:00:00,50.94 -2015-09-29T08:00:00,55.44 -2015-09-29T09:00:00,39.6 -2015-09-29T10:00:00,33.77 -2015-09-29T11:00:00,28.39 -2015-09-29T12:00:00,26.98 -2015-09-29T13:00:00,27.48 -2015-09-29T14:00:00,27.71 -2015-09-29T15:00:00,28.33 -2015-09-29T16:00:00,29.02 -2015-09-29T17:00:00,34.04 -2015-09-29T18:00:00,43.36 -2015-09-29T19:00:00,51.64 -2015-09-29T20:00:00,43.76 -2015-09-29T21:00:00,38.02 -2015-09-29T22:00:00,33.33 -2015-09-29T23:00:00,28.54 -2015-09-30T00:00:00,28.17 -2015-09-30T01:00:00,28.12 -2015-09-30T02:00:00,26.91 -2015-09-30T03:00:00,26.66 -2015-09-30T04:00:00,27 -2015-09-30T05:00:00,28.63 -2015-09-30T06:00:00,42.93 -2015-09-30T07:00:00,53.78 -2015-09-30T08:00:00,55.5 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-2015-10-08T02:00:00,28.08 -2015-10-08T03:00:00,27.95 -2015-10-08T04:00:00,28.42 -2015-10-08T05:00:00,34.76 -2015-10-08T06:00:00,46.49 -2015-10-08T07:00:00,55.7 -2015-10-08T08:00:00,59.84 -2015-10-08T09:00:00,61.14 -2015-10-08T10:00:00,59.13 -2015-10-08T11:00:00,56 -2015-10-08T12:00:00,52.46 -2015-10-08T13:00:00,51.05 -2015-10-08T14:00:00,50.78 -2015-10-08T15:00:00,50.22 -2015-10-08T16:00:00,50 -2015-10-08T17:00:00,51.69 -2015-10-08T18:00:00,55.99 -2015-10-08T19:00:00,72.7 -2015-10-08T20:00:00,58.04 -2015-10-08T21:00:00,43.98 -2015-10-08T22:00:00,40.99 -2015-10-08T23:00:00,35.06 -2015-10-09T00:00:00,33.12 -2015-10-09T01:00:00,32.02 -2015-10-09T02:00:00,30.26 -2015-10-09T03:00:00,28.22 -2015-10-09T04:00:00,30.47 -2015-10-09T05:00:00,32.09 -2015-10-09T06:00:00,46.62 -2015-10-09T07:00:00,55.48 -2015-10-09T08:00:00,61.04 -2015-10-09T09:00:00,61 -2015-10-09T10:00:00,55.09 -2015-10-09T11:00:00,52.93 -2015-10-09T12:00:00,50.85 -2015-10-09T13:00:00,47.8 -2015-10-09T14:00:00,46.8 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-2015-10-11T04:00:00,19.45 -2015-10-11T05:00:00,19.01 -2015-10-11T06:00:00,19.03 -2015-10-11T07:00:00,19.52 -2015-10-11T08:00:00,20.82 -2015-10-11T09:00:00,20.62 -2015-10-11T10:00:00,20.2 -2015-10-11T11:00:00,19.99 -2015-10-11T12:00:00,16.5 -2015-10-11T13:00:00,13.19 -2015-10-11T14:00:00,12.89 -2015-10-11T15:00:00,13.1 -2015-10-11T16:00:00,16.57 -2015-10-11T17:00:00,23.35 -2015-10-11T18:00:00,35.23 -2015-10-11T19:00:00,42.97 -2015-10-11T20:00:00,32.28 -2015-10-11T21:00:00,29.13 -2015-10-11T22:00:00,31.2 -2015-10-11T23:00:00,23.78 -2015-10-12T00:00:00,23.09 -2015-10-12T01:00:00,19.6 -2015-10-12T02:00:00,19.78 -2015-10-12T03:00:00,19.47 -2015-10-12T04:00:00,19.64 -2015-10-12T05:00:00,26.14 -2015-10-12T06:00:00,40.73 -2015-10-12T07:00:00,49.15 -2015-10-12T08:00:00,49.88 -2015-10-12T09:00:00,42 -2015-10-12T10:00:00,32.23 -2015-10-12T11:00:00,28.06 -2015-10-12T12:00:00,26.4 -2015-10-12T13:00:00,26.35 -2015-10-12T14:00:00,27.33 -2015-10-12T15:00:00,29.08 -2015-10-12T16:00:00,32.65 -2015-10-12T17:00:00,47.01 -2015-10-12T18:00:00,53.33 -2015-10-12T19:00:00,66.87 -2015-10-12T20:00:00,51.61 -2015-10-12T21:00:00,41.51 -2015-10-12T22:00:00,32.72 -2015-10-12T23:00:00,31.42 -2015-10-13T00:00:00,30.39 -2015-10-13T01:00:00,30 -2015-10-13T02:00:00,29.76 -2015-10-13T03:00:00,28.87 -2015-10-13T04:00:00,29.05 -2015-10-13T05:00:00,31.7 -2015-10-13T06:00:00,43.98 -2015-10-13T07:00:00,52.62 -2015-10-13T08:00:00,56.6 -2015-10-13T09:00:00,53.94 -2015-10-13T10:00:00,46.7 -2015-10-13T11:00:00,43.97 -2015-10-13T12:00:00,40.82 -2015-10-13T13:00:00,41.45 -2015-10-13T14:00:00,41.91 -2015-10-13T15:00:00,42.54 -2015-10-13T16:00:00,43.85 -2015-10-13T17:00:00,48.17 -2015-10-13T18:00:00,53.91 -2015-10-13T19:00:00,61.89 -2015-10-13T20:00:00,50.12 -2015-10-13T21:00:00,40.09 -2015-10-13T22:00:00,37.16 -2015-10-13T23:00:00,32.22 -2015-10-14T00:00:00,31.47 -2015-10-14T01:00:00,29.15 -2015-10-14T02:00:00,27.77 -2015-10-14T03:00:00,27.75 -2015-10-14T04:00:00,28.08 -2015-10-14T05:00:00,30.47 -2015-10-14T06:00:00,41.49 -2015-10-14T07:00:00,55.08 -2015-10-14T08:00:00,63.06 -2015-10-14T09:00:00,61.21 -2015-10-14T10:00:00,60.05 -2015-10-14T11:00:00,61.95 -2015-10-14T12:00:00,55.17 -2015-10-14T13:00:00,51.95 -2015-10-14T14:00:00,46.81 -2015-10-14T15:00:00,45.99 -2015-10-14T16:00:00,46.87 -2015-10-14T17:00:00,47.95 -2015-10-14T18:00:00,51.98 -2015-10-14T19:00:00,57.07 -2015-10-14T20:00:00,46 -2015-10-14T21:00:00,36.95 -2015-10-14T22:00:00,36.99 -2015-10-14T23:00:00,31.59 -2015-10-15T00:00:00,32.09 -2015-10-15T01:00:00,30.66 -2015-10-15T02:00:00,28.76 -2015-10-15T03:00:00,28.25 -2015-10-15T04:00:00,28.09 -2015-10-15T05:00:00,29.31 -2015-10-15T06:00:00,36.93 -2015-10-15T07:00:00,51.9 -2015-10-15T08:00:00,50.41 -2015-10-15T09:00:00,51.16 -2015-10-15T10:00:00,57.91 -2015-10-15T11:00:00,57.01 -2015-10-15T12:00:00,51.46 -2015-10-15T13:00:00,50 -2015-10-15T14:00:00,42.44 -2015-10-15T15:00:00,36.08 -2015-10-15T16:00:00,35 -2015-10-15T17:00:00,37.44 -2015-10-15T18:00:00,44 -2015-10-15T19:00:00,47.97 -2015-10-15T20:00:00,36.07 -2015-10-15T21:00:00,32 -2015-10-15T22:00:00,32.41 -2015-10-15T23:00:00,29.1 -2015-10-16T00:00:00,29.38 -2015-10-16T01:00:00,29.03 -2015-10-16T02:00:00,28.06 -2015-10-16T03:00:00,29.48 -2015-10-16T04:00:00,30.79 -2015-10-16T05:00:00,30.73 -2015-10-16T06:00:00,45.86 -2015-10-16T07:00:00,61.8 -2015-10-16T08:00:00,65.99 -2015-10-16T09:00:00,65.99 -2015-10-16T10:00:00,66.23 -2015-10-16T11:00:00,61 -2015-10-16T12:00:00,54.7 -2015-10-16T13:00:00,52.37 -2015-10-16T14:00:00,55 -2015-10-16T15:00:00,53.73 -2015-10-16T16:00:00,51.94 -2015-10-16T17:00:00,55.17 -2015-10-16T18:00:00,59.87 -2015-10-16T19:00:00,50.4 -2015-10-16T20:00:00,44.8 -2015-10-16T21:00:00,39.82 -2015-10-16T22:00:00,38.69 -2015-10-16T23:00:00,35.27 -2015-10-17T00:00:00,34.19 -2015-10-17T01:00:00,34.07 -2015-10-17T02:00:00,33.49 -2015-10-17T03:00:00,33.42 -2015-10-17T04:00:00,33.97 -2015-10-17T05:00:00,32.34 -2015-10-17T06:00:00,32.13 -2015-10-17T07:00:00,35.06 -2015-10-17T08:00:00,46.3 -2015-10-17T09:00:00,48.13 -2015-10-17T10:00:00,48.28 -2015-10-17T11:00:00,46.52 -2015-10-17T12:00:00,43.96 -2015-10-17T13:00:00,41.62 -2015-10-17T14:00:00,38.96 -2015-10-17T15:00:00,38.48 -2015-10-17T16:00:00,39.18 -2015-10-17T17:00:00,42.6 -2015-10-17T18:00:00,48.8 -2015-10-17T19:00:00,55.99 -2015-10-17T20:00:00,47.21 -2015-10-17T21:00:00,41.81 -2015-10-17T22:00:00,42.43 -2015-10-17T23:00:00,32.18 -2015-10-18T00:00:00,32.18 -2015-10-18T01:00:00,32.02 -2015-10-18T02:00:00,31.04 -2015-10-18T03:00:00,32.03 -2015-10-18T04:00:00,30.91 -2015-10-18T05:00:00,31.03 -2015-10-18T06:00:00,29.03 -2015-10-18T07:00:00,31.96 -2015-10-18T08:00:00,32.98 -2015-10-18T09:00:00,35.06 -2015-10-18T10:00:00,39.98 -2015-10-18T11:00:00,41.94 -2015-10-18T12:00:00,38.32 -2015-10-18T13:00:00,38.38 -2015-10-18T14:00:00,36.2 -2015-10-18T15:00:00,33.56 -2015-10-18T16:00:00,35.01 -2015-10-18T17:00:00,39.18 -2015-10-18T18:00:00,47.44 -2015-10-18T19:00:00,56.05 -2015-10-18T20:00:00,51.71 -2015-10-18T21:00:00,45.66 -2015-10-18T22:00:00,42.81 -2015-10-18T23:00:00,35 -2015-10-19T00:00:00,36.72 -2015-10-19T01:00:00,34.43 -2015-10-19T02:00:00,34.15 -2015-10-19T03:00:00,32.59 -2015-10-19T04:00:00,32.34 -2015-10-19T05:00:00,35.15 -2015-10-19T06:00:00,47.74 -2015-10-19T07:00:00,60.01 -2015-10-19T08:00:00,66.32 -2015-10-19T09:00:00,69.68 -2015-10-19T10:00:00,61.67 -2015-10-19T11:00:00,59.9 -2015-10-19T12:00:00,60 -2015-10-19T13:00:00,59.59 -2015-10-19T14:00:00,57.19 -2015-10-19T15:00:00,55.63 -2015-10-19T16:00:00,54.32 -2015-10-19T17:00:00,55.8 -2015-10-19T18:00:00,60.17 -2015-10-19T19:00:00,69.47 -2015-10-19T20:00:00,57.84 -2015-10-19T21:00:00,43.5 -2015-10-19T22:00:00,38.22 -2015-10-19T23:00:00,34.86 -2015-10-20T00:00:00,33.02 -2015-10-20T01:00:00,31.77 -2015-10-20T02:00:00,30.5 -2015-10-20T03:00:00,29.86 -2015-10-20T04:00:00,31.93 -2015-10-20T05:00:00,33.91 -2015-10-20T06:00:00,43.4 -2015-10-20T07:00:00,58.64 -2015-10-20T08:00:00,65.56 -2015-10-20T09:00:00,64.74 -2015-10-20T10:00:00,62.01 -2015-10-20T11:00:00,60.26 -2015-10-20T12:00:00,55.99 -2015-10-20T13:00:00,54 -2015-10-20T14:00:00,54.6 -2015-10-20T15:00:00,53.19 -2015-10-20T16:00:00,52.73 -2015-10-20T17:00:00,54.26 -2015-10-20T18:00:00,60.42 -2015-10-20T19:00:00,66.98 -2015-10-20T20:00:00,51.05 -2015-10-20T21:00:00,40.5 -2015-10-20T22:00:00,38.43 -2015-10-20T23:00:00,33.92 -2015-10-21T00:00:00,32.34 -2015-10-21T01:00:00,31.1 -2015-10-21T02:00:00,29.48 -2015-10-21T03:00:00,29.14 -2015-10-21T04:00:00,31.27 -2015-10-21T05:00:00,32.41 -2015-10-21T06:00:00,36.93 -2015-10-21T07:00:00,54.24 -2015-10-21T08:00:00,61.96 -2015-10-21T09:00:00,57.69 -2015-10-21T10:00:00,53.61 -2015-10-21T11:00:00,52.76 -2015-10-21T12:00:00,46.37 -2015-10-21T13:00:00,44.03 -2015-10-21T14:00:00,43.31 -2015-10-21T15:00:00,42.09 -2015-10-21T16:00:00,39.34 -2015-10-21T17:00:00,46.18 -2015-10-21T18:00:00,47.93 -2015-10-21T19:00:00,47.31 -2015-10-21T20:00:00,38.25 -2015-10-21T21:00:00,36.02 -2015-10-21T22:00:00,36.08 -2015-10-21T23:00:00,30.85 -2015-10-22T00:00:00,27.38 -2015-10-22T01:00:00,26.49 -2015-10-22T02:00:00,26.3 -2015-10-22T03:00:00,27.13 -2015-10-22T04:00:00,27.92 -2015-10-22T05:00:00,29.03 -2015-10-22T06:00:00,35.92 -2015-10-22T07:00:00,46.95 -2015-10-22T08:00:00,46.59 -2015-10-22T09:00:00,46.95 -2015-10-22T10:00:00,45.83 -2015-10-22T11:00:00,46.94 -2015-10-22T12:00:00,45.87 -2015-10-22T13:00:00,46.2 -2015-10-22T14:00:00,45 -2015-10-22T15:00:00,41.72 -2015-10-22T16:00:00,36.09 -2015-10-22T17:00:00,38.93 -2015-10-22T18:00:00,41.98 -2015-10-22T19:00:00,41.71 -2015-10-22T20:00:00,36.03 -2015-10-22T21:00:00,32.19 -2015-10-22T22:00:00,29.81 -2015-10-22T23:00:00,23.98 -2015-10-23T00:00:00,27.28 -2015-10-23T01:00:00,24.94 -2015-10-23T02:00:00,23.76 -2015-10-23T03:00:00,23.97 -2015-10-23T04:00:00,27.15 -2015-10-23T05:00:00,28.91 -2015-10-23T06:00:00,36.2 -2015-10-23T07:00:00,47.95 -2015-10-23T08:00:00,46.95 -2015-10-23T09:00:00,48 -2015-10-23T10:00:00,46.98 -2015-10-23T11:00:00,44.72 -2015-10-23T12:00:00,35.04 -2015-10-23T13:00:00,32.37 -2015-10-23T14:00:00,31.68 -2015-10-23T15:00:00,34.29 -2015-10-23T16:00:00,41.91 -2015-10-23T17:00:00,45.12 -2015-10-23T18:00:00,54.01 -2015-10-23T19:00:00,55.17 -2015-10-23T20:00:00,43.17 -2015-10-23T21:00:00,39.94 -2015-10-23T22:00:00,35.16 -2015-10-23T23:00:00,32.15 -2015-10-24T00:00:00,32.08 -2015-10-24T01:00:00,32.3 -2015-10-24T02:00:00,30.07 -2015-10-24T03:00:00,31.48 -2015-10-24T04:00:00,30.1 -2015-10-24T05:00:00,30.05 -2015-10-24T06:00:00,33.46 -2015-10-24T07:00:00,37.2 -2015-10-24T08:00:00,40.02 -2015-10-24T09:00:00,40.03 -2015-10-24T10:00:00,35.95 -2015-10-24T11:00:00,30.5 -2015-10-24T12:00:00,27.89 -2015-10-24T13:00:00,27.94 -2015-10-24T14:00:00,25.48 -2015-10-24T15:00:00,27.7 -2015-10-24T16:00:00,31.08 -2015-10-24T17:00:00,37.22 -2015-10-24T18:00:00,44.92 -2015-10-24T19:00:00,44.98 -2015-10-24T20:00:00,34.73 -2015-10-24T21:00:00,30 -2015-10-24T22:00:00,28.09 -2015-10-24T23:00:00,24.09 -2015-10-25T00:00:00,28.76 -2015-10-25T01:00:00,27.08 -2015-10-25T02:00:00,25.045 -2015-10-25T03:00:00,25.84 -2015-10-25T04:00:00,23.86 -2015-10-25T05:00:00,25.05 -2015-10-25T06:00:00,25.46 -2015-10-25T07:00:00,30.9 -2015-10-25T08:00:00,32.09 -2015-10-25T09:00:00,32.05 -2015-10-25T10:00:00,31.97 -2015-10-25T11:00:00,32.04 -2015-10-25T12:00:00,29.04 -2015-10-25T13:00:00,25.49 -2015-10-25T14:00:00,30.05 -2015-10-25T15:00:00,32.07 -2015-10-25T16:00:00,36.2 -2015-10-25T17:00:00,47.91 -2015-10-25T18:00:00,53.93 -2015-10-25T19:00:00,52.14 -2015-10-25T20:00:00,44.92 -2015-10-25T21:00:00,41.02 -2015-10-25T22:00:00,43.05 -2015-10-25T23:00:00,32.08 -2015-10-26T00:00:00,32.29 -2015-10-26T01:00:00,32.23 -2015-10-26T02:00:00,32.07 -2015-10-26T03:00:00,31.09 -2015-10-26T04:00:00,31.73 -2015-10-26T05:00:00,35.1 -2015-10-26T06:00:00,43.89 -2015-10-26T07:00:00,53.1 -2015-10-26T08:00:00,52.18 -2015-10-26T09:00:00,49.11 -2015-10-26T10:00:00,41.03 -2015-10-26T11:00:00,40.03 -2015-10-26T12:00:00,36.12 -2015-10-26T13:00:00,32.88 -2015-10-26T14:00:00,36.98 -2015-10-26T15:00:00,44.97 -2015-10-26T16:00:00,48.59 -2015-10-26T17:00:00,53.74 -2015-10-26T18:00:00,55 -2015-10-26T19:00:00,42.52 -2015-10-26T20:00:00,34.63 -2015-10-26T21:00:00,30.65 -2015-10-26T22:00:00,29.51 -2015-10-26T23:00:00,29.08 -2015-10-27T00:00:00,28.56 -2015-10-27T01:00:00,29.09 -2015-10-27T02:00:00,28.2 -2015-10-27T03:00:00,28.5 -2015-10-27T04:00:00,29.03 -2015-10-27T05:00:00,30.9 -2015-10-27T06:00:00,38.44 -2015-10-27T07:00:00,46.67 -2015-10-27T08:00:00,50.88 -2015-10-27T09:00:00,49.54 -2015-10-27T10:00:00,48.65 -2015-10-27T11:00:00,47.68 -2015-10-27T12:00:00,39.91 -2015-10-27T13:00:00,40.05 -2015-10-27T14:00:00,39.9 -2015-10-27T15:00:00,47.91 -2015-10-27T16:00:00,49.18 -2015-10-27T17:00:00,54.1 -2015-10-27T18:00:00,54.07 -2015-10-27T19:00:00,47.93 -2015-10-27T20:00:00,40.04 -2015-10-27T21:00:00,36.51 -2015-10-27T22:00:00,32.07 -2015-10-27T23:00:00,31.04 -2015-10-28T00:00:00,32.92 -2015-10-28T01:00:00,31.21 -2015-10-28T02:00:00,30.32 -2015-10-28T03:00:00,29.08 -2015-10-28T04:00:00,30.71 -2015-10-28T05:00:00,30.85 -2015-10-28T06:00:00,35.71 -2015-10-28T07:00:00,47.19 -2015-10-28T08:00:00,46.91 -2015-10-28T09:00:00,46.99 -2015-10-28T10:00:00,39.93 -2015-10-28T11:00:00,36.4 -2015-10-28T12:00:00,36.14 -2015-10-28T13:00:00,37.42 -2015-10-28T14:00:00,46.29 -2015-10-28T15:00:00,49.98 -2015-10-28T16:00:00,51.99 -2015-10-28T17:00:00,60.63 -2015-10-28T18:00:00,69.74 -2015-10-28T19:00:00,54.58 -2015-10-28T20:00:00,49.61 -2015-10-28T21:00:00,45 -2015-10-28T22:00:00,38.64 -2015-10-28T23:00:00,34.47 -2015-10-29T00:00:00,35.44 -2015-10-29T01:00:00,33.1 -2015-10-29T02:00:00,32.08 -2015-10-29T03:00:00,32.66 -2015-10-29T04:00:00,34.05 -2015-10-29T05:00:00,34.8 -2015-10-29T06:00:00,45.02 -2015-10-29T07:00:00,53.42 -2015-10-29T08:00:00,56.03 -2015-10-29T09:00:00,56.88 -2015-10-29T10:00:00,56.19 -2015-10-29T11:00:00,55.51 -2015-10-29T12:00:00,53.91 -2015-10-29T13:00:00,54.24 -2015-10-29T14:00:00,55.17 -2015-10-29T15:00:00,55.29 -2015-10-29T16:00:00,54.85 -2015-10-29T17:00:00,64.51 -2015-10-29T18:00:00,78.88 -2015-10-29T19:00:00,64.96 -2015-10-29T20:00:00,52.94 -2015-10-29T21:00:00,47.16 -2015-10-29T22:00:00,44.32 -2015-10-29T23:00:00,39.99 -2015-10-30T00:00:00,36.25 -2015-10-30T01:00:00,35.09 -2015-10-30T02:00:00,34.32 -2015-10-30T03:00:00,34.02 -2015-10-30T04:00:00,34.02 -2015-10-30T05:00:00,36.78 -2015-10-30T06:00:00,43 -2015-10-30T07:00:00,52.05 -2015-10-30T08:00:00,55 -2015-10-30T09:00:00,54 -2015-10-30T10:00:00,52 -2015-10-30T11:00:00,49.36 -2015-10-30T12:00:00,45.65 -2015-10-30T13:00:00,44.95 -2015-10-30T14:00:00,44.76 -2015-10-30T15:00:00,46.2 -2015-10-30T16:00:00,47.51 -2015-10-30T17:00:00,52 -2015-10-30T18:00:00,50.05 -2015-10-30T19:00:00,46.94 -2015-10-30T20:00:00,38.28 -2015-10-30T21:00:00,34.96 -2015-10-30T22:00:00,35.04 -2015-10-30T23:00:00,34.47 -2015-10-31T00:00:00,33.23 -2015-10-31T01:00:00,31.93 -2015-10-31T02:00:00,28.49 -2015-10-31T03:00:00,28.28 -2015-10-31T04:00:00,27.95 -2015-10-31T05:00:00,29.19 -2015-10-31T06:00:00,30.69 -2015-10-31T07:00:00,32.94 -2015-10-31T08:00:00,37.6 -2015-10-31T09:00:00,39.14 -2015-10-31T10:00:00,37.98 -2015-10-31T11:00:00,37.06 -2015-10-31T12:00:00,33.85 -2015-10-31T13:00:00,32.01 -2015-10-31T14:00:00,33.21 -2015-10-31T15:00:00,36.96 -2015-10-31T16:00:00,39.9 -2015-10-31T17:00:00,45.39 -2015-10-31T18:00:00,50.03 -2015-10-31T19:00:00,47.56 -2015-10-31T20:00:00,38.94 -2015-10-31T21:00:00,36.54 -2015-10-31T22:00:00,36.08 -2015-10-31T23:00:00,32.52 -2015-11-01T00:00:00,25.71 -2015-11-01T01:00:00,24.46 -2015-11-01T02:00:00,27.3 -2015-11-01T03:00:00,24.48 -2015-11-01T04:00:00,24.42 -2015-11-01T05:00:00,24.85 -2015-11-01T06:00:00,24.86 -2015-11-01T07:00:00,24.83 -2015-11-01T08:00:00,26.26 -2015-11-01T09:00:00,27.3 -2015-11-01T10:00:00,26.93 -2015-11-01T11:00:00,27.69 -2015-11-01T12:00:00,25.81 -2015-11-01T13:00:00,26.94 -2015-11-01T14:00:00,27.26 -2015-11-01T15:00:00,28.56 -2015-11-01T16:00:00,34.05 -2015-11-01T17:00:00,47.98 -2015-11-01T18:00:00,51.54 -2015-11-01T19:00:00,50.34 -2015-11-01T20:00:00,46.48 -2015-11-01T21:00:00,40 -2015-11-01T22:00:00,36.9 -2015-11-01T23:00:00,32.79 -2015-11-02T00:00:00,28.3 -2015-11-02T01:00:00,24.67 -2015-11-02T02:00:00,24.84 -2015-11-02T03:00:00,22.24 -2015-11-02T04:00:00,23.8 -2015-11-02T05:00:00,27.84 -2015-11-02T06:00:00,39.11 -2015-11-02T07:00:00,49.05 -2015-11-02T08:00:00,47.92 -2015-11-02T09:00:00,46.47 -2015-11-02T10:00:00,37.75 -2015-11-02T11:00:00,38.16 -2015-11-02T12:00:00,35.56 -2015-11-02T13:00:00,36.09 -2015-11-02T14:00:00,37.97 -2015-11-02T15:00:00,48.05 -2015-11-02T16:00:00,50.07 -2015-11-02T17:00:00,57.69 -2015-11-02T18:00:00,67.74 -2015-11-02T19:00:00,59.41 -2015-11-02T20:00:00,46.96 -2015-11-02T21:00:00,38.56 -2015-11-02T22:00:00,37.75 -2015-11-02T23:00:00,33.03 -2015-11-03T00:00:00,34.03 -2015-11-03T01:00:00,32.25 -2015-11-03T02:00:00,31.32 -2015-11-03T03:00:00,29.84 -2015-11-03T04:00:00,30.92 -2015-11-03T05:00:00,32.25 -2015-11-03T06:00:00,39.97 -2015-11-03T07:00:00,49.63 -2015-11-03T08:00:00,49.96 -2015-11-03T09:00:00,46.06 -2015-11-03T10:00:00,39.73 -2015-11-03T11:00:00,36.1 -2015-11-03T12:00:00,33.08 -2015-11-03T13:00:00,34.94 -2015-11-03T14:00:00,37.11 -2015-11-03T15:00:00,49.4 -2015-11-03T16:00:00,51.13 -2015-11-03T17:00:00,61.99 -2015-11-03T18:00:00,67.19 -2015-11-03T19:00:00,60.01 -2015-11-03T20:00:00,46.08 -2015-11-03T21:00:00,36.72 -2015-11-03T22:00:00,35.9 -2015-11-03T23:00:00,33.87 -2015-11-04T00:00:00,33.23 -2015-11-04T01:00:00,32.22 -2015-11-04T02:00:00,31.02 -2015-11-04T03:00:00,29.59 -2015-11-04T04:00:00,29.83 -2015-11-04T05:00:00,32.24 -2015-11-04T06:00:00,44.62 -2015-11-04T07:00:00,48.81 -2015-11-04T08:00:00,49.76 -2015-11-04T09:00:00,43.06 -2015-11-04T10:00:00,39.14 -2015-11-04T11:00:00,38.95 -2015-11-04T12:00:00,36.03 -2015-11-04T13:00:00,41.53 -2015-11-04T14:00:00,47.57 -2015-11-04T15:00:00,52.33 -2015-11-04T16:00:00,55.1 -2015-11-04T17:00:00,63.02 -2015-11-04T18:00:00,64.1 -2015-11-04T19:00:00,54.56 -2015-11-04T20:00:00,43.01 -2015-11-04T21:00:00,37.44 -2015-11-04T22:00:00,36.07 -2015-11-04T23:00:00,32.21 -2015-11-05T00:00:00,32.01 -2015-11-05T01:00:00,31.65 -2015-11-05T02:00:00,31.47 -2015-11-05T03:00:00,31.92 -2015-11-05T04:00:00,31.91 -2015-11-05T05:00:00,33.46 -2015-11-05T06:00:00,42 -2015-11-05T07:00:00,52.55 -2015-11-05T08:00:00,54.69 -2015-11-05T09:00:00,46.06 -2015-11-05T10:00:00,44.07 -2015-11-05T11:00:00,41.98 -2015-11-05T12:00:00,37.06 -2015-11-05T13:00:00,40.3 -2015-11-05T14:00:00,45.96 -2015-11-05T15:00:00,52.01 -2015-11-05T16:00:00,53.93 -2015-11-05T17:00:00,70.38 -2015-11-05T18:00:00,69.01 -2015-11-05T19:00:00,58.05 -2015-11-05T20:00:00,46.44 -2015-11-05T21:00:00,37.45 -2015-11-05T22:00:00,37.19 -2015-11-05T23:00:00,33.68 -2015-11-06T00:00:00,29.12 -2015-11-06T01:00:00,28.21 -2015-11-06T02:00:00,26.99 -2015-11-06T03:00:00,27.11 -2015-11-06T04:00:00,26.76 -2015-11-06T05:00:00,29.98 -2015-11-06T06:00:00,36.66 -2015-11-06T07:00:00,44.77 -2015-11-06T08:00:00,45.04 -2015-11-06T09:00:00,43.88 -2015-11-06T10:00:00,44.76 -2015-11-06T11:00:00,44.49 -2015-11-06T12:00:00,41.66 -2015-11-06T13:00:00,38.45 -2015-11-06T14:00:00,37.08 -2015-11-06T15:00:00,37.67 -2015-11-06T16:00:00,40.01 -2015-11-06T17:00:00,45.28 -2015-11-06T18:00:00,47.42 -2015-11-06T19:00:00,42.87 -2015-11-06T20:00:00,34.38 -2015-11-06T21:00:00,31.61 -2015-11-06T22:00:00,31.38 -2015-11-06T23:00:00,24.44 -2015-11-07T00:00:00,27.75 -2015-11-07T01:00:00,24.41 -2015-11-07T02:00:00,22.25 -2015-11-07T03:00:00,20.43 -2015-11-07T04:00:00,21.29 -2015-11-07T05:00:00,24.32 -2015-11-07T06:00:00,24.57 -2015-11-07T07:00:00,28.53 -2015-11-07T08:00:00,32.03 -2015-11-07T09:00:00,35.97 -2015-11-07T10:00:00,36.81 -2015-11-07T11:00:00,38.05 -2015-11-07T12:00:00,37.83 -2015-11-07T13:00:00,35.72 -2015-11-07T14:00:00,33.2 -2015-11-07T15:00:00,31.63 -2015-11-07T16:00:00,32.05 -2015-11-07T17:00:00,41.07 -2015-11-07T18:00:00,41.81 -2015-11-07T19:00:00,32.99 -2015-11-07T20:00:00,28.43 -2015-11-07T21:00:00,22.09 -2015-11-07T22:00:00,21.65 -2015-11-07T23:00:00,11.93 -2015-11-08T00:00:00,-13.38 -2015-11-08T01:00:00,-13.42 -2015-11-08T02:00:00,-16.06 -2015-11-08T03:00:00,-10.07 -2015-11-08T04:00:00,1.93 -2015-11-08T05:00:00,12.94 -2015-11-08T06:00:00,13.11 -2015-11-08T07:00:00,17.31 -2015-11-08T08:00:00,22.93 -2015-11-08T09:00:00,23.87 -2015-11-08T10:00:00,25.21 -2015-11-08T11:00:00,28.65 -2015-11-08T12:00:00,26.93 -2015-11-08T13:00:00,25.76 -2015-11-08T14:00:00,29.02 -2015-11-08T15:00:00,31.06 -2015-11-08T16:00:00,32.45 -2015-11-08T17:00:00,45.96 -2015-11-08T18:00:00,48.4 -2015-11-08T19:00:00,44.94 -2015-11-08T20:00:00,35.84 -2015-11-08T21:00:00,29.93 -2015-11-08T22:00:00,29.24 -2015-11-08T23:00:00,22.78 -2015-11-09T00:00:00,17.94 -2015-11-09T01:00:00,17.09 -2015-11-09T02:00:00,14.5 -2015-11-09T03:00:00,12.81 -2015-11-09T04:00:00,13.33 -2015-11-09T05:00:00,19.31 -2015-11-09T06:00:00,37.01 -2015-11-09T07:00:00,46.95 -2015-11-09T08:00:00,46.55 -2015-11-09T09:00:00,37.22 -2015-11-09T10:00:00,35.93 -2015-11-09T11:00:00,32.93 -2015-11-09T12:00:00,31 -2015-11-09T13:00:00,31.05 -2015-11-09T14:00:00,30.7 -2015-11-09T15:00:00,31.08 -2015-11-09T16:00:00,31.08 -2015-11-09T17:00:00,42.43 -2015-11-09T18:00:00,41.6 -2015-11-09T19:00:00,31.97 -2015-11-09T20:00:00,30.23 -2015-11-09T21:00:00,25.19 -2015-11-09T22:00:00,20.94 -2015-11-09T23:00:00,9.5 -2015-11-10T00:00:00,11.6 -2015-11-10T01:00:00,10.66 -2015-11-10T02:00:00,4.49 -2015-11-10T03:00:00,10.08 -2015-11-10T04:00:00,12.83 -2015-11-10T05:00:00,15.11 -2015-11-10T06:00:00,28.32 -2015-11-10T07:00:00,36.8 -2015-11-10T08:00:00,35.63 -2015-11-10T09:00:00,28.25 -2015-11-10T10:00:00,25.63 -2015-11-10T11:00:00,27.95 -2015-11-10T12:00:00,26.68 -2015-11-10T13:00:00,29.09 -2015-11-10T14:00:00,32.55 -2015-11-10T15:00:00,36.4 -2015-11-10T16:00:00,39.25 -2015-11-10T17:00:00,51.93 -2015-11-10T18:00:00,54.94 -2015-11-10T19:00:00,44.97 -2015-11-10T20:00:00,38.95 -2015-11-10T21:00:00,32.8 -2015-11-10T22:00:00,32.98 -2015-11-10T23:00:00,24.35 -2015-11-11T00:00:00,26.46 -2015-11-11T01:00:00,24.04 -2015-11-11T02:00:00,22.92 -2015-11-11T03:00:00,22.42 -2015-11-11T04:00:00,21.46 -2015-11-11T05:00:00,25.41 -2015-11-11T06:00:00,33.28 -2015-11-11T07:00:00,38.95 -2015-11-11T08:00:00,38.71 -2015-11-11T09:00:00,38.98 -2015-11-11T10:00:00,38.23 -2015-11-11T11:00:00,39.94 -2015-11-11T12:00:00,37.98 -2015-11-11T13:00:00,35.34 -2015-11-11T14:00:00,34.78 -2015-11-11T15:00:00,35.71 -2015-11-11T16:00:00,38.48 -2015-11-11T17:00:00,48.88 -2015-11-11T18:00:00,52.57 -2015-11-11T19:00:00,48.84 -2015-11-11T20:00:00,41.25 -2015-11-11T21:00:00,34.49 -2015-11-11T22:00:00,34.75 -2015-11-11T23:00:00,28.03 -2015-11-12T00:00:00,25.13 -2015-11-12T01:00:00,24.74 -2015-11-12T02:00:00,21.06 -2015-11-12T03:00:00,21.02 -2015-11-12T04:00:00,24.02 -2015-11-12T05:00:00,27.93 -2015-11-12T06:00:00,31.02 -2015-11-12T07:00:00,37.02 -2015-11-12T08:00:00,38.4 -2015-11-12T09:00:00,35.79 -2015-11-12T10:00:00,32.01 -2015-11-12T11:00:00,31.44 -2015-11-12T12:00:00,29.98 -2015-11-12T13:00:00,32.07 -2015-11-12T14:00:00,37 -2015-11-12T15:00:00,43.97 -2015-11-12T16:00:00,46.74 -2015-11-12T17:00:00,63.83 -2015-11-12T18:00:00,69.49 -2015-11-12T19:00:00,55.97 -2015-11-12T20:00:00,44.08 -2015-11-12T21:00:00,36.57 -2015-11-12T22:00:00,35.89 -2015-11-12T23:00:00,29.54 -2015-11-13T00:00:00,30.04 -2015-11-13T01:00:00,29.28 -2015-11-13T02:00:00,28.47 -2015-11-13T03:00:00,26.66 -2015-11-13T04:00:00,25.35 -2015-11-13T05:00:00,29.13 -2015-11-13T06:00:00,35.78 -2015-11-13T07:00:00,44.67 -2015-11-13T08:00:00,46.99 -2015-11-13T09:00:00,42.15 -2015-11-13T10:00:00,37.97 -2015-11-13T11:00:00,36 -2015-11-13T12:00:00,31.6 -2015-11-13T13:00:00,32 -2015-11-13T14:00:00,30.97 -2015-11-13T15:00:00,32.07 -2015-11-13T16:00:00,33.96 -2015-11-13T17:00:00,40.5 -2015-11-13T18:00:00,33.03 -2015-11-13T19:00:00,30.02 -2015-11-13T20:00:00,28.43 -2015-11-13T21:00:00,24.01 -2015-11-13T22:00:00,24.69 -2015-11-13T23:00:00,16.39 -2015-11-14T00:00:00,16.41 -2015-11-14T01:00:00,16.08 -2015-11-14T02:00:00,11.83 -2015-11-14T03:00:00,10.54 -2015-11-14T04:00:00,10.58 -2015-11-14T05:00:00,11.87 -2015-11-14T06:00:00,10.71 -2015-11-14T07:00:00,12.89 -2015-11-14T08:00:00,17.04 -2015-11-14T09:00:00,20 -2015-11-14T10:00:00,17.22 -2015-11-14T11:00:00,15.77 -2015-11-14T12:00:00,15.82 -2015-11-14T13:00:00,15.42 -2015-11-14T14:00:00,19.4 -2015-11-14T15:00:00,22.65 -2015-11-14T16:00:00,30.1 -2015-11-14T17:00:00,42.15 -2015-11-14T18:00:00,44.55 -2015-11-14T19:00:00,39.31 -2015-11-14T20:00:00,30.07 -2015-11-14T21:00:00,22.5 -2015-11-14T22:00:00,21.63 -2015-11-14T23:00:00,22.05 -2015-11-15T00:00:00,24.95 -2015-11-15T01:00:00,21.18 -2015-11-15T02:00:00,20.72 -2015-11-15T03:00:00,17.72 -2015-11-15T04:00:00,17.1 -2015-11-15T05:00:00,18.31 -2015-11-15T06:00:00,16.83 -2015-11-15T07:00:00,17.38 -2015-11-15T08:00:00,17.87 -2015-11-15T09:00:00,22.72 -2015-11-15T10:00:00,23.17 -2015-11-15T11:00:00,23.26 -2015-11-15T12:00:00,23.33 -2015-11-15T13:00:00,17.03 -2015-11-15T14:00:00,15.77 -2015-11-15T15:00:00,20.39 -2015-11-15T16:00:00,24.05 -2015-11-15T17:00:00,33.7 -2015-11-15T18:00:00,43.69 -2015-11-15T19:00:00,32.14 -2015-11-15T20:00:00,34.95 -2015-11-15T21:00:00,34.96 -2015-11-15T22:00:00,24.69 -2015-11-15T23:00:00,26.06 -2015-11-16T00:00:00,25.27 -2015-11-16T01:00:00,22.44 -2015-11-16T02:00:00,21.51 -2015-11-16T03:00:00,20.4 -2015-11-16T04:00:00,21.74 -2015-11-16T05:00:00,23.06 -2015-11-16T06:00:00,32.96 -2015-11-16T07:00:00,33.1 -2015-11-16T08:00:00,32.68 -2015-11-16T09:00:00,29.01 -2015-11-16T10:00:00,27.81 -2015-11-16T11:00:00,27.86 -2015-11-16T12:00:00,27.87 -2015-11-16T13:00:00,29.02 -2015-11-16T14:00:00,31 -2015-11-16T15:00:00,35.87 -2015-11-16T16:00:00,38.94 -2015-11-16T17:00:00,46.42 -2015-11-16T18:00:00,43.44 -2015-11-16T19:00:00,37.06 -2015-11-16T20:00:00,37.73 -2015-11-16T21:00:00,30.97 -2015-11-16T22:00:00,30.75 -2015-11-16T23:00:00,25.37 -2015-11-17T00:00:00,24.64 -2015-11-17T01:00:00,24.65 -2015-11-17T02:00:00,21.92 -2015-11-17T03:00:00,21.37 -2015-11-17T04:00:00,22.5 -2015-11-17T05:00:00,24.67 -2015-11-17T06:00:00,30.27 -2015-11-17T07:00:00,36.6 -2015-11-17T08:00:00,38.75 -2015-11-17T09:00:00,38.27 -2015-11-17T10:00:00,38.91 -2015-11-17T11:00:00,41.26 -2015-11-17T12:00:00,37.94 -2015-11-17T13:00:00,35.93 -2015-11-17T14:00:00,36.05 -2015-11-17T15:00:00,36.3 -2015-11-17T16:00:00,38.5 -2015-11-17T17:00:00,41 -2015-11-17T18:00:00,39.49 -2015-11-17T19:00:00,37.84 -2015-11-17T20:00:00,31 -2015-11-17T21:00:00,26.45 -2015-11-17T22:00:00,23.49 -2015-11-17T23:00:00,13.5 -2015-11-18T00:00:00,-0.92 -2015-11-18T01:00:00,-0.1 -2015-11-18T02:00:00,-19.95 -2015-11-18T03:00:00,-8.73 -2015-11-18T04:00:00,-0.09 -2015-11-18T05:00:00,10.74 -2015-11-18T06:00:00,21 -2015-11-18T07:00:00,27.04 -2015-11-18T08:00:00,26.97 -2015-11-18T09:00:00,25.52 -2015-11-18T10:00:00,25.42 -2015-11-18T11:00:00,25.54 -2015-11-18T12:00:00,24.9 -2015-11-18T13:00:00,24.92 -2015-11-18T14:00:00,27.68 -2015-11-18T15:00:00,33.92 -2015-11-18T16:00:00,36.97 -2015-11-18T17:00:00,50.99 -2015-11-18T18:00:00,42.44 -2015-11-18T19:00:00,33.93 -2015-11-18T20:00:00,29.41 -2015-11-18T21:00:00,24.43 -2015-11-18T22:00:00,20.76 -2015-11-18T23:00:00,7.73 -2015-11-19T00:00:00,12.36 -2015-11-19T01:00:00,11.03 -2015-11-19T02:00:00,5.15 -2015-11-19T03:00:00,5.76 -2015-11-19T04:00:00,10.81 -2015-11-19T05:00:00,15.15 -2015-11-19T06:00:00,25.08 -2015-11-19T07:00:00,32.27 -2015-11-19T08:00:00,32.14 -2015-11-19T09:00:00,25.84 -2015-11-19T10:00:00,25.23 -2015-11-19T11:00:00,25.24 -2015-11-19T12:00:00,25.09 -2015-11-19T13:00:00,25.32 -2015-11-19T14:00:00,25.91 -2015-11-19T15:00:00,29.93 -2015-11-19T16:00:00,32.95 -2015-11-19T17:00:00,38.22 -2015-11-19T18:00:00,38.96 -2015-11-19T19:00:00,38.95 -2015-11-19T20:00:00,34.92 -2015-11-19T21:00:00,32.18 -2015-11-19T22:00:00,24.97 -2015-11-19T23:00:00,22.83 -2015-11-20T00:00:00,27.66 -2015-11-20T01:00:00,25.04 -2015-11-20T02:00:00,22.89 -2015-11-20T03:00:00,23.25 -2015-11-20T04:00:00,24.02 -2015-11-20T05:00:00,26.1 -2015-11-20T06:00:00,32.06 -2015-11-20T07:00:00,41.97 -2015-11-20T08:00:00,38.93 -2015-11-20T09:00:00,43.9 -2015-11-20T10:00:00,44.76 -2015-11-20T11:00:00,47.11 -2015-11-20T12:00:00,47.7 -2015-11-20T13:00:00,46.44 -2015-11-20T14:00:00,45.88 -2015-11-20T15:00:00,44.51 -2015-11-20T16:00:00,45.7 -2015-11-20T17:00:00,50.1 -2015-11-20T18:00:00,51.66 -2015-11-20T19:00:00,45.4 -2015-11-20T20:00:00,41.6 -2015-11-20T21:00:00,35.57 -2015-11-20T22:00:00,34.71 -2015-11-20T23:00:00,29.09 -2015-11-21T00:00:00,28.47 -2015-11-21T01:00:00,24.95 -2015-11-21T02:00:00,23.04 -2015-11-21T03:00:00,22.38 -2015-11-21T04:00:00,22.25 -2015-11-21T05:00:00,22.61 -2015-11-21T06:00:00,22.04 -2015-11-21T07:00:00,25.69 -2015-11-21T08:00:00,29.68 -2015-11-21T09:00:00,31.52 -2015-11-21T10:00:00,31.58 -2015-11-21T11:00:00,33.24 -2015-11-21T12:00:00,34.13 -2015-11-21T13:00:00,32.83 -2015-11-21T14:00:00,31.08 -2015-11-21T15:00:00,31.48 -2015-11-21T16:00:00,33.02 -2015-11-21T17:00:00,42.85 -2015-11-21T18:00:00,44.4 -2015-11-21T19:00:00,40.11 -2015-11-21T20:00:00,29.95 -2015-11-21T21:00:00,26.54 -2015-11-21T22:00:00,25.55 -2015-11-21T23:00:00,24.35 -2015-11-22T00:00:00,25.19 -2015-11-22T01:00:00,23.93 -2015-11-22T02:00:00,23.87 -2015-11-22T03:00:00,22.7 -2015-11-22T04:00:00,22.35 -2015-11-22T05:00:00,22.59 -2015-11-22T06:00:00,22.06 -2015-11-22T07:00:00,22.87 -2015-11-22T08:00:00,22.2 -2015-11-22T09:00:00,24.02 -2015-11-22T10:00:00,25.55 -2015-11-22T11:00:00,28.21 -2015-11-22T12:00:00,24.84 -2015-11-22T13:00:00,24.01 -2015-11-22T14:00:00,18.82 -2015-11-22T15:00:00,22.88 -2015-11-22T16:00:00,25.56 -2015-11-22T17:00:00,34.42 -2015-11-22T18:00:00,38.48 -2015-11-22T19:00:00,32.47 -2015-11-22T20:00:00,31.07 -2015-11-22T21:00:00,28.26 -2015-11-22T22:00:00,33 -2015-11-22T23:00:00,25.02 -2015-11-23T00:00:00,23.65 -2015-11-23T01:00:00,24.52 -2015-11-23T02:00:00,28.01 -2015-11-23T03:00:00,25.02 -2015-11-23T04:00:00,25.73 -2015-11-23T05:00:00,27.85 -2015-11-23T06:00:00,40.72 -2015-11-23T07:00:00,66.14 -2015-11-23T08:00:00,71.92 -2015-11-23T09:00:00,68.19 -2015-11-23T10:00:00,59.91 -2015-11-23T11:00:00,55.01 -2015-11-23T12:00:00,50.95 -2015-11-23T13:00:00,55.07 -2015-11-23T14:00:00,60.04 -2015-11-23T15:00:00,62.9 -2015-11-23T16:00:00,70.82 -2015-11-23T17:00:00,99.77 -2015-11-23T18:00:00,74.93 -2015-11-23T19:00:00,51.91 -2015-11-23T20:00:00,43.5 -2015-11-23T21:00:00,36.39 -2015-11-23T22:00:00,34.15 -2015-11-23T23:00:00,29.13 -2015-11-24T00:00:00,34.31 -2015-11-24T01:00:00,30.2 -2015-11-24T02:00:00,28.27 -2015-11-24T03:00:00,27.03 -2015-11-24T04:00:00,27.1 -2015-11-24T05:00:00,27.02 -2015-11-24T06:00:00,33.01 -2015-11-24T07:00:00,45.23 -2015-11-24T08:00:00,46.44 -2015-11-24T09:00:00,43.67 -2015-11-24T10:00:00,35.13 -2015-11-24T11:00:00,34.18 -2015-11-24T12:00:00,31.29 -2015-11-24T13:00:00,32.23 -2015-11-24T14:00:00,33.64 -2015-11-24T15:00:00,40 -2015-11-24T16:00:00,43.98 -2015-11-24T17:00:00,46.44 -2015-11-24T18:00:00,41.84 -2015-11-24T19:00:00,37.58 -2015-11-24T20:00:00,32.24 -2015-11-24T21:00:00,35.25 -2015-11-24T22:00:00,30.67 -2015-11-24T23:00:00,28.25 -2015-11-25T00:00:00,29.48 -2015-11-25T01:00:00,29.83 -2015-11-25T02:00:00,29.14 -2015-11-25T03:00:00,28.39 -2015-11-25T04:00:00,29.49 -2015-11-25T05:00:00,28.36 -2015-11-25T06:00:00,31.85 -2015-11-25T07:00:00,50.58 -2015-11-25T08:00:00,46.99 -2015-11-25T09:00:00,46.54 -2015-11-25T10:00:00,48.53 -2015-11-25T11:00:00,50.97 -2015-11-25T12:00:00,50.58 -2015-11-25T13:00:00,52.98 -2015-11-25T14:00:00,52.4 -2015-11-25T15:00:00,51.21 -2015-11-25T16:00:00,51.59 -2015-11-25T17:00:00,59.45 -2015-11-25T18:00:00,46.66 -2015-11-25T19:00:00,49.07 -2015-11-25T20:00:00,37.81 -2015-11-25T21:00:00,34.59 -2015-11-25T22:00:00,34.12 -2015-11-25T23:00:00,31 -2015-11-26T00:00:00,34.99 -2015-11-26T01:00:00,34.2 -2015-11-26T02:00:00,32.3 -2015-11-26T03:00:00,30.29 -2015-11-26T04:00:00,31.4 -2015-11-26T05:00:00,33.75 -2015-11-26T06:00:00,38.93 -2015-11-26T07:00:00,60.98 -2015-11-26T08:00:00,60.08 -2015-11-26T09:00:00,59.19 -2015-11-26T10:00:00,60.96 -2015-11-26T11:00:00,62.97 -2015-11-26T12:00:00,57.51 -2015-11-26T13:00:00,56.8 -2015-11-26T14:00:00,60.03 -2015-11-26T15:00:00,65.05 -2015-11-26T16:00:00,65.12 -2015-11-26T17:00:00,83.91 -2015-11-26T18:00:00,72.17 -2015-11-26T19:00:00,62.05 -2015-11-26T20:00:00,47.52 -2015-11-26T21:00:00,37.35 -2015-11-26T22:00:00,47.06 -2015-11-26T23:00:00,35.77 -2015-11-27T00:00:00,32.94 -2015-11-27T01:00:00,31.67 -2015-11-27T02:00:00,29.96 -2015-11-27T03:00:00,29.98 -2015-11-27T04:00:00,30.09 -2015-11-27T05:00:00,29.33 -2015-11-27T06:00:00,33.81 -2015-11-27T07:00:00,46.67 -2015-11-27T08:00:00,47.96 -2015-11-27T09:00:00,47 -2015-11-27T10:00:00,44.98 -2015-11-27T11:00:00,48.07 -2015-11-27T12:00:00,39.2 -2015-11-27T13:00:00,36.21 -2015-11-27T14:00:00,36.1 -2015-11-27T15:00:00,39.49 -2015-11-27T16:00:00,44.92 -2015-11-27T17:00:00,47.66 -2015-11-27T18:00:00,37.32 -2015-11-27T19:00:00,33.02 -2015-11-27T20:00:00,31.17 -2015-11-27T21:00:00,29.55 -2015-11-27T22:00:00,29.18 -2015-11-27T23:00:00,26.18 -2015-11-28T00:00:00,27.03 -2015-11-28T01:00:00,23.01 -2015-11-28T02:00:00,23.04 -2015-11-28T03:00:00,23.01 -2015-11-28T04:00:00,24.15 -2015-11-28T05:00:00,24.14 -2015-11-28T06:00:00,27.71 -2015-11-28T07:00:00,28.06 -2015-11-28T08:00:00,31 -2015-11-28T09:00:00,35.04 -2015-11-28T10:00:00,30.02 -2015-11-28T11:00:00,31.75 -2015-11-28T12:00:00,31.72 -2015-11-28T13:00:00,30.09 -2015-11-28T14:00:00,32.96 -2015-11-28T15:00:00,33.95 -2015-11-28T16:00:00,35.46 -2015-11-28T17:00:00,37.48 -2015-11-28T18:00:00,32.33 -2015-11-28T19:00:00,31.17 -2015-11-28T20:00:00,24.08 -2015-11-28T21:00:00,20.52 -2015-11-28T22:00:00,20.22 -2015-11-28T23:00:00,10.92 -2015-11-29T00:00:00,-0.04 -2015-11-29T01:00:00,-0.97 -2015-11-29T02:00:00,-0.9 -2015-11-29T03:00:00,-0.77 -2015-11-29T04:00:00,-0.96 -2015-11-29T05:00:00,0.05 -2015-11-29T06:00:00,0 -2015-11-29T07:00:00,10.06 -2015-11-29T08:00:00,13.07 -2015-11-29T09:00:00,16.47 -2015-11-29T10:00:00,18.98 -2015-11-29T11:00:00,20.76 -2015-11-29T12:00:00,20.79 -2015-11-29T13:00:00,20.38 -2015-11-29T14:00:00,17.11 -2015-11-29T15:00:00,15.04 -2015-11-29T16:00:00,16.28 -2015-11-29T17:00:00,16.57 -2015-11-29T18:00:00,20.91 -2015-11-29T19:00:00,16.73 -2015-11-29T20:00:00,13.79 -2015-11-29T21:00:00,12.22 -2015-11-29T22:00:00,13.91 -2015-11-29T23:00:00,0.07 -2015-11-30T00:00:00,10.04 -2015-11-30T01:00:00,-0.09 -2015-11-30T02:00:00,-0.94 -2015-11-30T03:00:00,-0.99 -2015-11-30T04:00:00,-0.04 -2015-11-30T05:00:00,10.78 -2015-11-30T06:00:00,21.85 -2015-11-30T07:00:00,30.41 -2015-11-30T08:00:00,33.42 -2015-11-30T09:00:00,28.28 -2015-11-30T10:00:00,28.88 -2015-11-30T11:00:00,30.09 -2015-11-30T12:00:00,30.03 -2015-11-30T13:00:00,32.45 -2015-11-30T14:00:00,35.79 -2015-11-30T15:00:00,35.38 -2015-11-30T16:00:00,37.89 -2015-11-30T17:00:00,47 -2015-11-30T18:00:00,45.26 -2015-11-30T19:00:00,39.83 -2015-11-30T20:00:00,35.72 -2015-11-30T21:00:00,30.02 -2015-11-30T22:00:00,27.14 -2015-11-30T23:00:00,18.52 -2015-12-01T00:00:00,20.17 -2015-12-01T01:00:00,17.41 -2015-12-01T02:00:00,16.08 -2015-12-01T03:00:00,17.48 -2015-12-01T04:00:00,20.48 -2015-12-01T05:00:00,21.95 -2015-12-01T06:00:00,24.59 -2015-12-01T07:00:00,38.9 -2015-12-01T08:00:00,46.94 -2015-12-01T09:00:00,44.91 -2015-12-01T10:00:00,43.29 -2015-12-01T11:00:00,45.88 -2015-12-01T12:00:00,42.5 -2015-12-01T13:00:00,44.93 -2015-12-01T14:00:00,45.6 -2015-12-01T15:00:00,45.52 -2015-12-01T16:00:00,48.4 -2015-12-01T17:00:00,58.55 -2015-12-01T18:00:00,46.99 -2015-12-01T19:00:00,38.91 -2015-12-01T20:00:00,36.03 -2015-12-01T21:00:00,31.93 -2015-12-01T22:00:00,31.01 -2015-12-01T23:00:00,27.52 -2015-12-02T00:00:00,24.49 -2015-12-02T01:00:00,22.52 -2015-12-02T02:00:00,21.72 -2015-12-02T03:00:00,21.79 -2015-12-02T04:00:00,23.06 -2015-12-02T05:00:00,25.04 -2015-12-02T06:00:00,30.03 -2015-12-02T07:00:00,41.16 -2015-12-02T08:00:00,44.31 -2015-12-02T09:00:00,43.5 -2015-12-02T10:00:00,40.51 -2015-12-02T11:00:00,42.89 -2015-12-02T12:00:00,36.67 -2015-12-02T13:00:00,47.78 -2015-12-02T14:00:00,44.91 -2015-12-02T15:00:00,47.44 -2015-12-02T16:00:00,48.22 -2015-12-02T17:00:00,56.44 -2015-12-02T18:00:00,44.91 -2015-12-02T19:00:00,43.02 -2015-12-02T20:00:00,35.72 -2015-12-02T21:00:00,31.02 -2015-12-02T22:00:00,29.4 -2015-12-02T23:00:00,27.05 -2015-12-03T00:00:00,29.06 -2015-12-03T01:00:00,29.06 -2015-12-03T02:00:00,28.35 -2015-12-03T03:00:00,29.08 -2015-12-03T04:00:00,29.94 -2015-12-03T05:00:00,31.54 -2015-12-03T06:00:00,42.93 -2015-12-03T07:00:00,53.14 -2015-12-03T08:00:00,53.89 -2015-12-03T09:00:00,51.13 -2015-12-03T10:00:00,49.58 -2015-12-03T11:00:00,50.99 -2015-12-03T12:00:00,50 -2015-12-03T13:00:00,48.54 -2015-12-03T14:00:00,47.2 -2015-12-03T15:00:00,46.93 -2015-12-03T16:00:00,50.12 -2015-12-03T17:00:00,57.98 -2015-12-03T18:00:00,51 -2015-12-03T19:00:00,46.11 -2015-12-03T20:00:00,41.87 -2015-12-03T21:00:00,37.79 -2015-12-03T22:00:00,35.05 -2015-12-03T23:00:00,29.54 -2015-12-04T00:00:00,24.39 -2015-12-04T01:00:00,23.71 -2015-12-04T02:00:00,17.37 -2015-12-04T03:00:00,16.83 -2015-12-04T04:00:00,17.19 -2015-12-04T05:00:00,19.37 -2015-12-04T06:00:00,30.06 -2015-12-04T07:00:00,29.45 -2015-12-04T08:00:00,31.01 -2015-12-04T09:00:00,29.07 -2015-12-04T10:00:00,30.13 -2015-12-04T11:00:00,31.48 -2015-12-04T12:00:00,31.42 -2015-12-04T13:00:00,31.49 -2015-12-04T14:00:00,35.74 -2015-12-04T15:00:00,38 -2015-12-04T16:00:00,42.82 -2015-12-04T17:00:00,49.09 -2015-12-04T18:00:00,46.03 -2015-12-04T19:00:00,41.2 -2015-12-04T20:00:00,33.23 -2015-12-04T21:00:00,30.86 -2015-12-04T22:00:00,30.48 -2015-12-04T23:00:00,27.02 -2015-12-05T00:00:00,17.23 -2015-12-05T01:00:00,17.23 -2015-12-05T02:00:00,17.55 -2015-12-05T03:00:00,17.92 -2015-12-05T04:00:00,18.76 -2015-12-05T05:00:00,17.24 -2015-12-05T06:00:00,17.61 -2015-12-05T07:00:00,19.54 -2015-12-05T08:00:00,32.01 -2015-12-05T09:00:00,32.07 -2015-12-05T10:00:00,28.15 -2015-12-05T11:00:00,29.09 -2015-12-05T12:00:00,25.97 -2015-12-05T13:00:00,24.51 -2015-12-05T14:00:00,23.91 -2015-12-05T15:00:00,25.96 -2015-12-05T16:00:00,32.28 -2015-12-05T17:00:00,41.5 -2015-12-05T18:00:00,34.74 -2015-12-05T19:00:00,28.93 -2015-12-05T20:00:00,17.28 -2015-12-05T21:00:00,15 -2015-12-05T22:00:00,16.44 -2015-12-05T23:00:00,13.05 -2015-12-06T00:00:00,14.95 -2015-12-06T01:00:00,9.96 -2015-12-06T02:00:00,10.64 -2015-12-06T03:00:00,10.62 -2015-12-06T04:00:00,10.63 -2015-12-06T05:00:00,6.87 -2015-12-06T06:00:00,4.47 -2015-12-06T07:00:00,9.25 -2015-12-06T08:00:00,12.02 -2015-12-06T09:00:00,12.09 -2015-12-06T10:00:00,12.82 -2015-12-06T11:00:00,13.19 -2015-12-06T12:00:00,12.66 -2015-12-06T13:00:00,11.95 -2015-12-06T14:00:00,14.05 -2015-12-06T15:00:00,16.42 -2015-12-06T16:00:00,24.09 -2015-12-06T17:00:00,31.64 -2015-12-06T18:00:00,28.79 -2015-12-06T19:00:00,30.05 -2015-12-06T20:00:00,29.16 -2015-12-06T21:00:00,28.72 -2015-12-06T22:00:00,34.76 -2015-12-06T23:00:00,31.57 -2015-12-07T00:00:00,26.21 -2015-12-07T01:00:00,23.08 -2015-12-07T02:00:00,23.08 -2015-12-07T03:00:00,22.08 -2015-12-07T04:00:00,23.97 -2015-12-07T05:00:00,27.05 -2015-12-07T06:00:00,40.5 -2015-12-07T07:00:00,48.18 -2015-12-07T08:00:00,49.9 -2015-12-07T09:00:00,50.86 -2015-12-07T10:00:00,47.92 -2015-12-07T11:00:00,47.91 -2015-12-07T12:00:00,46.92 -2015-12-07T13:00:00,45.99 -2015-12-07T14:00:00,45.38 -2015-12-07T15:00:00,49.62 -2015-12-07T16:00:00,54.38 -2015-12-07T17:00:00,52.85 -2015-12-07T18:00:00,51.27 -2015-12-07T19:00:00,51.61 -2015-12-07T20:00:00,43.08 -2015-12-07T21:00:00,35.66 -2015-12-07T22:00:00,36.22 -2015-12-07T23:00:00,30.95 -2015-12-08T00:00:00,26.89 -2015-12-08T01:00:00,28.05 -2015-12-08T02:00:00,26.86 -2015-12-08T03:00:00,24.62 -2015-12-08T04:00:00,24.62 -2015-12-08T05:00:00,26.79 -2015-12-08T06:00:00,30.74 -2015-12-08T07:00:00,45.99 -2015-12-08T08:00:00,47.52 -2015-12-08T09:00:00,43.75 -2015-12-08T10:00:00,38.35 -2015-12-08T11:00:00,34.94 -2015-12-08T12:00:00,32.16 -2015-12-08T13:00:00,34.1 -2015-12-08T14:00:00,39.07 -2015-12-08T15:00:00,41.9 -2015-12-08T16:00:00,43.78 -2015-12-08T17:00:00,47 -2015-12-08T18:00:00,40.88 -2015-12-08T19:00:00,36.72 -2015-12-08T20:00:00,32.91 -2015-12-08T21:00:00,28.64 -2015-12-08T22:00:00,29.89 -2015-12-08T23:00:00,27.33 -2015-12-09T00:00:00,25.57 -2015-12-09T01:00:00,24.59 -2015-12-09T02:00:00,25.09 -2015-12-09T03:00:00,24.48 -2015-12-09T04:00:00,26.84 -2015-12-09T05:00:00,27.34 -2015-12-09T06:00:00,31.34 -2015-12-09T07:00:00,40.9 -2015-12-09T08:00:00,42.37 -2015-12-09T09:00:00,43 -2015-12-09T10:00:00,42.09 -2015-12-09T11:00:00,39.8 -2015-12-09T12:00:00,34.85 -2015-12-09T13:00:00,34.01 -2015-12-09T14:00:00,35.55 -2015-12-09T15:00:00,43.94 -2015-12-09T16:00:00,46.95 -2015-12-09T17:00:00,48.81 -2015-12-09T18:00:00,41.97 -2015-12-09T19:00:00,39.28 -2015-12-09T20:00:00,36.73 -2015-12-09T21:00:00,29.95 -2015-12-09T22:00:00,28.18 -2015-12-09T23:00:00,25.05 -2015-12-10T00:00:00,22.59 -2015-12-10T01:00:00,18.48 -2015-12-10T02:00:00,17.11 -2015-12-10T03:00:00,16.79 -2015-12-10T04:00:00,18.06 -2015-12-10T05:00:00,21.63 -2015-12-10T06:00:00,27.01 -2015-12-10T07:00:00,36.59 -2015-12-10T08:00:00,41.73 -2015-12-10T09:00:00,31.51 -2015-12-10T10:00:00,30 -2015-12-10T11:00:00,28.03 -2015-12-10T12:00:00,27.98 -2015-12-10T13:00:00,29.66 -2015-12-10T14:00:00,30.59 -2015-12-10T15:00:00,36.73 -2015-12-10T16:00:00,44.5 -2015-12-10T17:00:00,46.49 -2015-12-10T18:00:00,41.43 -2015-12-10T19:00:00,34.27 -2015-12-10T20:00:00,30.08 -2015-12-10T21:00:00,27.19 -2015-12-10T22:00:00,26 -2015-12-10T23:00:00,22.61 -2015-12-11T00:00:00,19.05 -2015-12-11T01:00:00,19 -2015-12-11T02:00:00,16.29 -2015-12-11T03:00:00,16.28 -2015-12-11T04:00:00,19.02 -2015-12-11T05:00:00,22.03 -2015-12-11T06:00:00,26.01 -2015-12-11T07:00:00,34.2 -2015-12-11T08:00:00,37.29 -2015-12-11T09:00:00,35.76 -2015-12-11T10:00:00,33.65 -2015-12-11T11:00:00,30.06 -2015-12-11T12:00:00,28.3 -2015-12-11T13:00:00,28.15 -2015-12-11T14:00:00,28.37 -2015-12-11T15:00:00,29.48 -2015-12-11T16:00:00,30.78 -2015-12-11T17:00:00,34.66 -2015-12-11T18:00:00,30.23 -2015-12-11T19:00:00,29.11 -2015-12-11T20:00:00,26 -2015-12-11T21:00:00,23.74 -2015-12-11T22:00:00,19.71 -2015-12-11T23:00:00,16.51 -2015-12-12T00:00:00,18.02 -2015-12-12T01:00:00,16.57 -2015-12-12T02:00:00,16.2 -2015-12-12T03:00:00,14.58 -2015-12-12T04:00:00,16.25 -2015-12-12T05:00:00,16.63 -2015-12-12T06:00:00,15.95 -2015-12-12T07:00:00,19.02 -2015-12-12T08:00:00,21.87 -2015-12-12T09:00:00,24.14 -2015-12-12T10:00:00,24.8 -2015-12-12T11:00:00,26.75 -2015-12-12T12:00:00,26.89 -2015-12-12T13:00:00,25.98 -2015-12-12T14:00:00,28.02 -2015-12-12T15:00:00,30.06 -2015-12-12T16:00:00,33.78 -2015-12-12T17:00:00,40 -2015-12-12T18:00:00,42.96 -2015-12-12T19:00:00,41 -2015-12-12T20:00:00,35.22 -2015-12-12T21:00:00,29.94 -2015-12-12T22:00:00,28.48 -2015-12-12T23:00:00,26.63 -2015-12-13T00:00:00,12.51 -2015-12-13T01:00:00,12.57 -2015-12-13T02:00:00,10.39 -2015-12-13T03:00:00,10.22 -2015-12-13T04:00:00,10.32 -2015-12-13T05:00:00,10.33 -2015-12-13T06:00:00,10.37 -2015-12-13T07:00:00,13.79 -2015-12-13T08:00:00,19.37 -2015-12-13T09:00:00,21.97 -2015-12-13T10:00:00,24.77 -2015-12-13T11:00:00,30.72 -2015-12-13T12:00:00,30.94 -2015-12-13T13:00:00,30.29 -2015-12-13T14:00:00,32.95 -2015-12-13T15:00:00,34.26 -2015-12-13T16:00:00,36.78 -2015-12-13T17:00:00,44.2 -2015-12-13T18:00:00,49.88 -2015-12-13T19:00:00,49.12 -2015-12-13T20:00:00,44.5 -2015-12-13T21:00:00,37.93 -2015-12-13T22:00:00,40.32 -2015-12-13T23:00:00,31.95 -2015-12-14T00:00:00,30.93 -2015-12-14T01:00:00,31.49 -2015-12-14T02:00:00,29.5 -2015-12-14T03:00:00,27.84 -2015-12-14T04:00:00,27.45 -2015-12-14T05:00:00,29.65 -2015-12-14T06:00:00,41.26 -2015-12-14T07:00:00,53.46 -2015-12-14T08:00:00,56.7 -2015-12-14T09:00:00,51.5 -2015-12-14T10:00:00,47.96 -2015-12-14T11:00:00,45.64 -2015-12-14T12:00:00,43.05 -2015-12-14T13:00:00,46.64 -2015-12-14T14:00:00,46.92 -2015-12-14T15:00:00,50.04 -2015-12-14T16:00:00,50.97 -2015-12-14T17:00:00,63.27 -2015-12-14T18:00:00,51.83 -2015-12-14T19:00:00,46.94 -2015-12-14T20:00:00,40.08 -2015-12-14T21:00:00,33.41 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b/docs/make.jl index a1517e1..4228a86 100644 --- a/docs/make.jl +++ b/docs/make.jl @@ -6,9 +6,9 @@ makedocs(sitename="ClustForOpt.jl", authors = "Holger Teichgraeber, and Elias Kuepper", pages = [ "Introduction" => "index.md", - "Workflow" => "workflow.md", + "Quick Start Guide" => "quickstart.md", "Load Data" => "load_data.md", - "Clustering" => "clust.md", + "Representative Periods" => "repr_per.md", "Optimization" => "opt.md" ], format = Documenter.HTML(assets=["assets/clust_for_opt_text.svg"]) diff --git a/docs/src/clust.md b/docs/src/clust.md deleted file mode 100644 index c4e869a..0000000 --- a/docs/src/clust.md +++ /dev/null @@ -1,45 +0,0 @@ -# Clustering - -`run_clust()` takes the full `data` and gives a struct with the clustered data as the output. - -The input parameter `n_clust` determines the number of clusters,i.e., representative periods. - -## Supported clustering methods - -The following combinations of clustering method and representations are supported by `run_clust`: - -Name | method | representation ----- | --------------- | ----------------------- -k-means clustering | `` | `` -k-means clustering with medoid representation | `` | `` -k-medoids clustering (partitional) | `` | `` -k-medoids clustering (exact) [requires Gurobi] | `` | `` -hierarchical clustering with centroid representation | `` | `` -hierarchical clustering with medoid representation | `` | `` - -For use of DTW barycenter averaging (DBA) and k-shape clustering on single-attribute data (e.g. electricity prices), please use branch `v0.1-appl_energy-framework-comp`. - -```@docs -run_clust -``` - -## Opt Types -```@docs -FullInputData -ClustData -ClustDataMerged -ClustResultAll -ClustResult -``` - -## Example running clustering -```@example -using ClustForOpt -# load ts-input-data -ts_input_data = load_timeseries_data(normpath(joinpath(@__DIR__,"..","..","data","TS_GER_1")); T=24, years=[2016]) -ts_clust_data = run_clust(ts_input_data).clust_data -using Plots -plot(ts_clust_data.data["solar-germany"], legend=false, linestyle=:solid, width=3, xlabel="Time [h]", ylabel="Solar availability factor [%]") -savefig("clust.svg") -``` -![Plot](clust.svg) diff --git a/docs/src/index.md b/docs/src/index.md index 8a1fd4e..5aedf74 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -4,15 +4,27 @@ [![](https://img.shields.io/badge/docs-dev-blue.svg)](https://holgerteichgraeber.github.io/ClustForOpt.jl/dev) [![Build Status](https://travis-ci.com/holgerteichgraeber/ClustForOpt.jl.svg?token=HRFemjSxM1NBCsbHGNDG&branch=master)](https://travis-ci.com/holgerteichgraeber/ClustForOpt.jl) -[ClustForOpt](https://github.com/holgerteichgraeber/ClustForOpt.jl) is a [julia](https://www.juliaopt.com) implementation of clustering methods for finding representative periods for optimization problems. A utilization in a scalable capacity expansion problem can be found in the package [CEP](https://github.com/YoungFaithful/CapacityExpansion.jl). +[ClustForOpt](https://github.com/holgerteichgraeber/ClustForOpt.jl) is a [julia](https://www.juliaopt.com) implementation of clustering methods and extreme value selection methods for finding representative periods for energy systems optimization problems. -The package has two main purposes: 1) Provide a simple process of clustering time-series input data, with clustered data output in a generalized type system 2) provide an interface between clustered data and optimization problem. +The package has two main purposes: 1) Provide a simple process of finding representative periods for time-series input data, with representative period data output in a generalized type system 2) provide an interface between representative period data and optimization problem. -The package follows the clustering framework presented in [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012). -The package is actively developed, and new features are continuously added. For a reproducible version of the methods and data of the original paper by [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012), please refer to branch `v0.1-appl_energy-framework-comp`. +An example energy systems optimization problem that uses ClustForOpt for its input data is the package [CapacityExpansion](https://github.com/YoungFaithful/CapacityExpansion.jl), which implements a scalable generation and transmission capacity expansion problem. + +The ClustForOpt package follows the clustering framework presented in [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012). +The package is actively developed, and new features are continuously added. For a reproducible version of the methods and data of the original paper by [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012), please refer to [v0.1](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/v0.1). This package is developed by Holger Teichgraeber [@holgerteichgraeber](https://github.com/holgerteichgraeber) and Elias Kuepper [@YoungFaithful](https://github.com/youngfaithful). +## Installation +This package runs under julia v1.0 and higher. +Install using: + +```julia +import Pkg +Pkg.add("ClustForOpt") +``` + +## Citing ClustForOpt If you find ClustForOpt useful in your work, we kindly request that you cite the following paper ([link](https://doi.org/10.1016/j.apenergy.2019.02.012)): ``` @@ -26,13 +38,3 @@ If you find ClustForOpt useful in your work, we kindly request that you cite the doi = {https://doi.org/10.1016/j.apenergy.2019.02.012}, } ``` - -## Installation -This package runs under julia v1.0 and higher. -Install using: - -```julia -] -add ClustForOpt -``` -where `]` opens the julia package manager. diff --git a/docs/src/load_data.md b/docs/src/load_data.md index a3ed550..02c1a72 100644 --- a/docs/src/load_data.md +++ b/docs/src/load_data.md @@ -1,23 +1,48 @@ -# Load Data -## Load Timeseries Data -`load_timeseries_data()` loads the data for a given `application` and `region`. -Possible applications are -- `DAM`: Day ahead market price data +Load Data +========= +Here, we describe how to load time-series data into the `ClustData` format for use in ClustForOpt, and we describe how data is stored in `ClustData`. +Data can be loaded from example data sets provided by us, or you can load your own data. -Possible regions are: -- `GER`: Germany -- `CA`: California +## Load example data from ClustForOpt +The example data can be loaded using the following function. +```@docs +load_timeseries_data(::Symbol) +``` +In the following example, we use the function to load the hourly wind, solar, demand data for Germany for 1 node, and the other data can be loaded similarly. Note that more years are available for the two CEP data sets. The data can be found in the [data](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/master/data) folder. +```@setup load_data +using ClustForOpt +``` +```@repl load_data +ts_input_data = load_timeseries_data(:CEP_GER1) +``` -The optional input parameters to `load_timeseries_data()` are the number of periods `K` and the number of time steps per period `T`. By default, they are chosen such that they result in daily time slices. +## Load your own data +You can also load your own data. Use the `load_timeseries_data` function and specify the path where the data is located at (either a folder or the filename). +```@docs +load_timeseries_data(::String) +``` +The data in your `.csv` file should be in the format Timestamp-Year-ColumnName as specified above. The files in [the single node system GER1](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/master/data/TS_GER_1) and [multi-node system GER18](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/master/data/TS_GER_18) give a good overview of how the data should be structured. +The path can be relative or absolute as in the following example +```@repl load_data +ts_input_data = load_timeseries_data(normpath(joinpath(@__DIR__,"..","..","data","TS_GER_1"))) # relative path from the documentation file to the data folder +ts_input_data = load_timeseries_data("/home/username/yourpathtofolder") # absolute path on Linux/Mac +ts_input_data = load_timeseries_data("C:\\Users\\Username\\yourpathtofolder") # absolute path on Windows +``` + +## ClustData struct +The `ClustData` struct is at the core of ClustForOpt. It contains the temporal input data, and also relevant information that can be easily used in the formulation of the optimization problem. ```@docs -load_timeseries_data +ClustData ``` -### Example loading timeseries data +Note that `K` and `T` can be used to construct sets that define the temporal structure of the optimization problem, and that `weights` can be used to weight the representative periods in the objective function of the optimization problem. +`k_ids` can be used to implement seasonal storage formulations for long-term energy systems optimization problems. `delta_t` can be used to implement within-period segmentation. + +## Example data +This shows the solar data as an example. ```@example using ClustForOpt -# laod ts-input-data -ts_input_data = load_timeseries_data(normpath(joinpath(@__DIR__,"..","..","data","TS_GER_1")); T=24, years=[2016]) +ts_input_data = load_timeseries_data(:CEP_GER1; T=24, years=[2016]) using Plots plot(ts_input_data.data["solar-germany"], legend=false, linestyle=:dot, xlabel="Time [h]", ylabel="Solar availability factor [%]") savefig("load_timeseries_data.svg") diff --git a/docs/src/opt.md b/docs/src/opt.md index 84c4a62..812fdb9 100644 --- a/docs/src/opt.md +++ b/docs/src/opt.md @@ -1,2 +1,17 @@ -# Optimization -The function `run_opt()` runs the optimization problem and gives as an output a struct that contains optimal objective function value, decision variables, and additional info. The `run_opt()` function infers the optimization problem type from the input data. See the example folder for further details. +Optimization +============ +The main purpose of this package is to provide a process and type system (structs) that can be easily integrated with optimization problems. ClustForOpt allows for the data to be processed in one single type, regardless of the dimensionality of the input data. This allows to quickly evaluate different temporal resolutions on a given optimization model. + +The most important fields of the data struct are +```@setup opt +using ClustForOpt +ts_input_data = load_timeseries_data(:CEP_GER1) +``` +```@repl opt +ts_clust_data.data # the clustered data +ts_clust_data.K # number of periods +ts_clust_data.T # number of time steps per period +``` +`K` and `T` can be directly integrated in the creation of the sets that define the temporal resolution of the formulation of the optimization problem. + +The package [CapacityExpansion](https://github.com/YoungFaithful/CapacityExpansion.jl) provides a generation and transmission capacity expansion problem that can utilize the wind, solar, and demand data from the `:CEP_GER1` and `:CEP_GER18` examples and uses the data types introduced in ClustForOpt. Please refer to the documentation of the CapacityExpansion package for how to use it. diff --git a/docs/src/quickstart.md b/docs/src/quickstart.md new file mode 100644 index 0000000..0fea69c --- /dev/null +++ b/docs/src/quickstart.md @@ -0,0 +1,41 @@ +Quick Start Guide +================= + +This quick start guide introduces the main concepts of using ClustForOpt. For more detail on the different functionalities that ClustForOpt provides, please refer to the subsequent chapters of the documentation or the examples in the [examples](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/master/examples) folder. + +Generally, the workflow consists of three steps: +- load data +- find representative periods (clustering + extreme period selection) +- optimization + +## Example Workflow +After ClustForOpt is installed, you can use it by saying: +```@repl workflow +using ClustForOpt +``` + +The first step is to load the data. The following example loads hourly wind, solar, and demand data for Germany (1 region) for one year. +```@repl workflow +ts_input_data = load_timeseries_data(:CEP_GER1) +``` +The output `ts_input_data` is a `ClustData` data struct that contains the data and additional information about the data. +```@repl workflow +ts_input_data.data # a dictionary with the data. +ts_input_data.data["wind-germany"] # the wind data (choose solar, el_demand as other options in this example) +ts_input_data.K # number of periods +``` + +The second step is to cluster the data into representative periods. Here, we use k-means clustering and get 5 representative periods. +```@repl workflow +clust_res = run_clust(ts_input_data;method="kmeans",n_clust=5) +ts_clust_data = clust_res.clust_data +``` +The `ts_clust_data` is a `ClustData` data struct, this time with clustered data (i.e. less representative periods). +```@repl workflow +ts_clust_data.data # the clustered data +ts_clust_data.data["wind-germany"] # the wind data. Note the dimensions compared to ts_input_data +ts_clust_data.K # number of periods +``` + +The clustered input data can be used as input to an optimization problem. +The optimization problem formulated in the package [CapacityExpansion](https://github.com/YoungFaithful/CapacityExpansion.jl) can be used with the data clustered in this example. diff --git a/docs/src/repr_per.md b/docs/src/repr_per.md new file mode 100644 index 0000000..fc50e58 --- /dev/null +++ b/docs/src/repr_per.md @@ -0,0 +1,86 @@ +Representative Periods +====================== + +The following describes how to find representative periods out of the full time-series input data. This includes both clustering and extreme period selection. + +## Clustering +The function `run_clust()` takes the `data` and gives a `ClustResult` struct with the clustered data as the output. +```@docs +run_clust(::ClustData) +``` + +The following examples show some use cases of `run_clust`. +```@setup clust +using ClustForOpt +ts_input_data=load_timeseries_data(:CEP_GER1) +``` +```@repl clust +clust_res = run_clust(ts_input_data) # uses the default values, so this is a k-means clustering algorithm with centroid representation that finds 5 clusters. +clust_res = run_clust(ts_input_data;method="kmedoids",representation="medoid",n_clust=10) #kmedoids clustering that finds 10 clusters +clust_res = run_clust(ts_input_data;method="hierarchical",representation=medoid,n_init=1) # Hierarchical clustering with medoid representation. +``` +The resulting struct contains the data, but also cost and configuration information. +```@repl clust +ts_clust_data = clust_res.clust_data +clust_cost = clust_res.cost +clust_config = clust_res.config +``` +The `ts_clust_data` is a `ClustData` data struct, this time with clustered data (i.e. less representative periods). + +Shape-based clustering methods are supported in an older version of ClustForOpt: For use of DTW barycenter averaging (DBA) and k-shape clustering on single-attribute data (e.g. electricity prices), please use [v0.1](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/v0.1). + +## Extreme period selection +Additionally to clustering the input data, extremes of the data may be relevant to the optimization problem. Therefore, we provide methods for extreme value identification, and to include them in the set of representative periods. + +The methods can be used as follows. +```@example +using ClustForOpt +ts_input_data = load_timeseries_data(:CEP_GER1) + # define simple extreme days of interest + ev1 = SimpleExtremeValueDescr("wind-germany","min","absolute") + ev2 = SimpleExtremeValueDescr("solar-germany","min","integral") + ev3 = SimpleExtremeValueDescr("el_demand-germany","max","absolute") + ev = [ev1, ev2, ev3] + # simple extreme day selection + ts_input_data_mod,extr_vals,extr_idcs = simple_extr_val_sel(ts_input_data,ev;rep_mod_method="feasibility") + + # run clustering +ts_clust_res = run_clust(ts_input_data_mod;method="kmeans",representation="centroid",n_init=100,n_clust=5) # default k-means + +# representation modification +ts_clust_extr = representation_modification(extr_vals,ts_clust_res.clust_data) +``` +The resulting `ts_clust_extr` contains both the clustered periods and the extreme periods. + +The extreme periods are first defined by their characteristics by use of `SimpleExtremeValueDescr`. The struct has the following options: +```@docs +SimpleExtremeValueDescr(::String,::String,::String) +``` + +Then, they are selected based on the function `simple_extr_val_sel`: +```@docs +simple_extr_val_sel(::ClustData, ::Array{SimpleExtremeValueDescr,1}) +``` + +## ClustResult struct +The output of `run_clust` function is a `ClustResult` struct with the following fields. +```@docs +ClustResult +``` + +If `run_clust` is run with the option `get_all_clust_results=true`, the output is the struct `ClustResultAll`, which contains all locally converged solutions. +```@docs +ClustResultAll +``` + +## Example running clustering +In this example, the wind, solar, and demand data from Germany for 2016 are clustered to 5 representative periods, and the solar data is shown in the plot. +```@example +using ClustForOpt +ts_input_data = load_timeseries_data(:CEP_GER1; T=24, years=[2016]) +ts_clust_data = run_clust(ts_input_data;n_clust=5).clust_data +using Plots +plot(ts_clust_data.data["solar-germany"], legend=false, linestyle=:solid, width=3, xlabel="Time [h]", ylabel="Solar availability factor [%]") +savefig("clust.svg") +``` +![Plot](clust.svg) diff --git a/docs/src/workflow.md b/docs/src/workflow.md deleted file mode 100644 index 444d520..0000000 --- a/docs/src/workflow.md +++ /dev/null @@ -1,20 +0,0 @@ -## Workflow - -Generally, the workflow requires three steps: -- load data -- clustering -- optimization - -## Example Workflow -```julia -using ClustForOpt - -# load data (electricity price day ahead market) -ts_input_data, = load_timeseries_data("DAM", "GER";K=365, T=24) #DAM - -# run standard kmeans clustering algorithm to cluster into 5 representative periods, with 1000 initial starting points -clust_res = run_clust(ts_input_data;method="kmeans",representation="centroid",n_clust=5,n_init=1000) - -# battery operations optimization on the clustered data -opt_res = run_opt(clust_res) -``` diff --git a/examples/example_run_clust.jl b/examples/example_run_clust.jl deleted file mode 100644 index 9e7579d..0000000 --- a/examples/example_run_clust.jl +++ /dev/null @@ -1,35 +0,0 @@ -# Some example runs of the clustering methods and optimization problems - # TODO:OLD Update this file. This is the old ClustForOpt - # saves results as jld2 file, which can be imported and analyzed by subsequent functions - -using ClustForOpt -using Gurobi -env = Gurobi.Env() - - # default kmeans + centroid run -run_clust("GER","battery";n_init=3) - - # kmeans + medoid run -run_clust("GER","battery";representation="medoid",n_init=3) - - # kmedoids + medoid run (partitional) -run_clust("GER","battery";method="kmedoids",representation="medoid",n_init=3) - - # kmedoids + medoid run (exact) - #QUESTION Shall we force the usage of Gurobi -run_clust("GER","battery";method="kmedoids_exact",representation="medoid",n_init=3,gurobi_env=env) - - # hierarchical + centroid run -run_clust("GER","battery";method="hierarchical",representation="centroid",n_init=1) - - # hierarchical + medoid run -run_clust("GER","battery";method="hierarchical",representation="medoid",n_init=1) - - # dbaclust + centroid run - #iterations=100 - #inner_iterations=30 - #rad_sc_min=0 - #rad_sc_max=5 - - # dbaclust + centroid run (single core, for parallel runs, use parallel version) -run_clust("GER","battery";method="dbaclust",representation="centroid",n_init=3,iterations=50,rad_sc_min=0,rad_sc_max=1,inner_iterations=30) diff --git a/examples/workflow_example_bat.jl b/examples/workflow_example_bat.jl deleted file mode 100644 index 9ccc8bc..0000000 --- a/examples/workflow_example_bat.jl +++ /dev/null @@ -1,35 +0,0 @@ -#TODO OLD rewrite This file exemplifies the workflow from data input to optimization result generation - -using ClustForOpt -#using ClustForOpt_priv -#using Gurobi - -# load data -ts_input_data, = load_timeseries_data("DAM", "GER";K=365, T=24) #DAM - - # run clustering -using Gurobi -clust_res_ar = [] -optimizer=Gurobi.Optimizer -for i=1:2 - push!(clust_res_ar, run_clust(ts_input_data;method="kmedoids_exact",representation="medoid",iterations=5,n_init=1,gurobi_opt=optimizer)) # default k-means -end - - # optimization - -opt_res = run_opt("battery",clust_res_ar[2].clust_data) - #opt_res = run_opt("gas_turbine",clust_res.clust_data[5]) - - ### - # run optimization for all k=1:9 -opt_res_all = [] -obj=[] -for i=1:2 - push!(opt_res_all,run_opt("battery", clust_res_ar[i].clust_data)) - push!(obj,opt_res_all[i].obj) -end - # run reference case -opt_res_full = run_opt("battery",ts_input_data) - #using PyPlot - # figure() - # plot(obj/opt_res_full.obj) diff --git a/src/ClustForOpt.jl b/src/ClustForOpt.jl index dbbe930..e94953f 100644 --- a/src/ClustForOpt.jl +++ b/src/ClustForOpt.jl @@ -33,7 +33,8 @@ module ClustForOpt representation_modification, get_sup_kw_args, run_clust, - run_opt, + run_battery_opt, + run_gas_opt, data_type, get_EUR_to_USD, #TODO Check which of the following should really be exported z_normalize, diff --git a/src/clustering/extreme_vals.jl b/src/clustering/extreme_vals.jl index bf14532..3cfcb68 100644 --- a/src/clustering/extreme_vals.jl +++ b/src/clustering/extreme_vals.jl @@ -2,7 +2,11 @@ simple_extr_val_sel(data::ClustData, extreme_value_descr_ar::Array{SimpleExtremeValueDescr,1}; rep_mod_method::String="feasibility") + Selects simple extreme values and returns modified data, extreme values, and the corresponding indices. + +Inputs options for `rep_mod_method`: +- `rep_mod_method`::String : `feasibility`,`append` """ function simple_extr_val_sel(data::ClustData, extr_value_descr_ar::Array{SimpleExtremeValueDescr,1}; @@ -23,7 +27,7 @@ end """ simple_extr_val_sel(data::ClustData, - extreme_value_descr_ar::SimpleExtremeValueDescr; + extreme_value_descr::SimpleExtremeValueDescr; rep_mod_method::String="feasibility") Wrapper function for only one simple extreme value. Selects simple extreme values and returns modified data, extreme values, and the corresponding indices. @@ -36,8 +40,10 @@ function simple_extr_val_sel(data::ClustData, end """ - simple_extr_val_ident(data::ClustData,extreme_value_descr::Array{SimpleExtremeValueDescr,1}) -identifies multiple simple extreme values from the data and returns array of column indices of extreme value within data + simple_extr_val_ident(data::ClustData, + extreme_value_descr_ar::Array{SimpleExtremeValueDescr,1}) + +Identifies multiple simple extreme values from the data and returns array of column indices of extreme value within data - data_type: any attribute from the attributes contained within *data* - extremum: "min" or "max" - peak_def: "absolute" or "integral" @@ -53,7 +59,9 @@ function simple_extr_val_ident(data::ClustData, end """ - simple_extr_val_ident(data::ClustData,extreme_value_descr::SimpleExtremeValueDescr) + simple_extr_val_ident(data::ClustData, + extreme_value_descr::SimpleExtremeValueDescr) + Wrapper function for only one simple extreme value: identifies a single simple extreme value from the data and returns column index of extreme value - `data_type`: any attribute from the attributes contained within *data* @@ -67,8 +75,13 @@ function simple_extr_val_ident(data::ClustData, end """ - simple_extr_val_ident(data::Array{Float64};extremum="max",peak_def="absolute") -identifies a single simple extreme period from the data and returns column index of extreme period + simple_extr_val_ident(clust_data::ClustData, + data_type::String; + extremum::String="max", + peak_def::String="absolute", + consecutive_periods::Int=1) + +Identifies a single simple extreme period from the data and returns column index of extreme period - `data_type`: any attribute from the attributes contained within *data* - `extremum`: "min" or "max" - `peak_def`: "absolute" or "integral" @@ -106,13 +119,16 @@ function simple_extr_val_ident(clust_data::ClustData, end """ - input_data_modification(data::ClustData,extr_val_idcs::Array{Int,1}) -returns ClustData structs with extreme vals and with remaining input data [data-extreme_vals]. + input_data_modification(data::ClustData, + extr_val_idcs::Array{Int,1}) + +Returns ClustData structs with extreme vals and with remaining input data [data-extreme_vals]. Gives extreme vals the weight that they had in data. This function is needed for the append method for representation modification ! the k-ids have to be monoton increasing - don't modify clustered data ! """ -function input_data_modification(data::ClustData,extr_val_idcs::Array{Int,1}) +function input_data_modification(data::ClustData, + extr_val_idcs::Array{Int,1}) unique_extr_val_idcs = unique(extr_val_idcs) K_dn = data.K- length(unique_extr_val_idcs) data_dn=Dict{String,Array}() @@ -145,6 +161,7 @@ end """ input_data_modification(data::ClustData,extr_val_idcs::Int) + wrapper function for a single extreme val. returns ClustData structs with extreme vals and with remaining input data [data-extreme_vals]. Gives extreme vals the weight that they had in data. @@ -154,7 +171,10 @@ function input_data_modification(data::ClustData,extr_val_idcs::Int) end """ - extreme_val_output(data::ClustData,extr_val_idcs::Array{Int,1};rep_mod_method="feasibility") + extreme_val_output(data::ClustData, + extr_val_idcs::Array{Int,1}; + rep_mod_method="feasibility") + Takes indices as input and returns ClustData struct that contains the extreme vals from within data. """ function extreme_val_output(data::ClustData, @@ -192,6 +212,7 @@ end """ extreme_val_output(data::ClustData,extr_val_idcs::Array{Int,1};rep_mod_method="feasibility") + wrapper function for a single extreme val. Takes indices as input and returns ClustData struct that contains the extreme vals from within data. """ @@ -203,6 +224,7 @@ end """ representation_modification(extr_vals::ClustData,clust_data::ClustData) + Merges the clustered data and extreme vals into one ClustData struct. Weights are chosen according to the rep_mod_method """ function representation_modification(extr_vals::ClustData, @@ -224,6 +246,7 @@ end """ representation_modification(extr_vals::ClustData,clust_data::ClustData) + Merges the clustered data and extreme vals into one ClustData struct. Weights are chosen according to the rep_mod_method """ function representation_modification(extr_vals_array::Array{ClustData,1}, @@ -237,6 +260,7 @@ end """ representation_modification(full_data::ClustData,clust_data::ClustData,extr_val_idcs::Array{Int,1};rep_mod_method::String="feasibility") + Merges the clustered data and extreme vals into one ClustData struct. Weights are chosen according to the rep_mod_method """ function representation_modification(full_data::ClustData, @@ -249,6 +273,7 @@ end """ representation_modification(full_data::ClustData,clust_data::ClustData,extr_val_idcs::Int;rep_mod_method::String="feasibility") + wrapper function for a single extreme val. Merges the clustered data and extreme vals into one ClustData struct. Weights are chosen according to the rep_mod_method """ diff --git a/src/clustering/run_clust.jl b/src/clustering/run_clust.jl index aea355f..2396186 100644 --- a/src/clustering/run_clust.jl +++ b/src/clustering/run_clust.jl @@ -1,10 +1,47 @@ """ - run_clust(data::ClustData;norm_op::String="zscore",norm_scope::String="full",method::String="kmeans",representation::String="centroid",n_clust::Int=5,n_init::Int=100,iterations::Int=300,save::String="",attribute_weights::Dict{String,Float64}=Dict{String,Float64}(),get_all_clust_results::Bool=false,kwargs...) -norm_op: "zscore", "01"(not implemented yet) -norm_scope: "full","sequence","hourly" -method: "kmeans","kmedoids","kmedoids_exact","hierarchical" -representation: "centroid","medoid" + run_clust(data::ClustData; + norm_op::String="zscore", + norm_scope::String="full", + method::String="kmeans", + representation::String="centroid", + n_clust::Int=5, + n_seg::Int=data.T, + n_init::Int=1000, + iterations::Int=300, + attribute_weights::Dict{String,Float64}=Dict{String,Float64}(), + save::String="",#QUESTION dead? + get_all_clust_results::Bool=false, + kwargs...) + +Take input data `data` of dimensionality `N x T` and cluster into data of dimensionality `K x T`. + + +The following combinations of `method` and `representation` are supported by `run_clust`: + +Name | method | representation | comment +:--- | :-------------- | :-------------- | :---- +k-means clustering | `` | `` | - +k-means clustering with medoid representation | `` | `` | - +k-medoids clustering (partitional) | `` | `` | - +k-medoids clustering (exact) | `` | `` | requires Gurobi and the additional keyword argument `gurobi_opt`. See [examples] folder for example use. Set `n_init=1` +hierarchical clustering with centroid representation | `` | `` | set `n_init=1` +hierarchical clustering with medoid representation | `` | `` | set `n_init=1` + +The other optional inputs are: + +Keyword | options | comment +:------ | :------ | :----- +`norm_op` | `zscore` | Normalization operation. `0-1` not yet implemented +`norm_scope` | `full`,`sequence`,`hourly` | Normalization scope. The default (`full`) is used in most of the current literature. +`n_clust` | e.g. `5` | Number of clusters that you want to obtain +`n_seg` | e.g. `10` | Number of segments per period. Not yet implemented, keep as default value. +`n_init` | e.g. `1000` | Number of initializations of locally converging clustering algorithms. `10000` often yields very stable results. +`iterations` | e.g. `300` | Internal parameter of the partitional clustering algorithms. +`attribute_weights` | e.g. Dict("wind-germany"=>3,"solar-germany"=>1,"el_demand-germany"=>5) | weights the respective attributes when clustering. In this example, demand and wind are deemed more important than solar. +`save` | `false` | Save clustered data as csv or jld2 file. Not yet implemented. +`get_all_clust_results` | `true`,`false` | `false` gives a `ClustData` struct with only the best locally converged solution in terms of clustering measure. `true` gives a `ClustDataAll` struct as output, with all locally converged solutions. +`kwargs` | e.g. `gurobi_opt` | optional keyword arguments that are required for specific methods, for example k-medoids exact. """ function run_clust(data::ClustData; norm_op::String="zscore", @@ -13,7 +50,7 @@ function run_clust(data::ClustData; representation::String="centroid", n_clust::Int=5, n_seg::Int=data.T, - n_init::Int=100, + n_init::Int=1000, iterations::Int=300, attribute_weights::Dict{String,Float64}=Dict{String,Float64}(), save::String="",#QUESTION dead? @@ -26,10 +63,10 @@ function run_clust(data::ClustData; #clustering clust_data, cost, centers_all, weights_all, clustids_all, cost_all, iter_all =run_clust_method(data;norm_op=norm_op, norm_scope=norm_scope, method=method, representation=representation, n_clust=n_clust, n_init=n_init, iterations=iterations, attribute_weights=attribute_weights, orig_k_ids=deepcopy(data.k_ids), kwargs...) - + # inter period segmentation (reduce the number of time steps per cluster - not fully implemented yet) if n_seg!=data.T && n_seg!=0 - clust_data_merged = ClustDataMerged(clust_data) + clust_data_merged = ClustDataMerged(clust_data) segmented_merged=intraperiod_segmentation(clust_data_merged;n_seg=n_seg,norm_scope=norm_scope,iterations=iterations) clust_data = ClustData(segmented_merged) else # if interperiod segmentation is not used @@ -38,7 +75,7 @@ function run_clust(data::ClustData; # set configuration file clust_config = set_clust_config(;norm_op=norm_op, norm_scope=norm_scope, method=method, representation=representation, n_clust=n_clust, n_seg=n_seg, n_init=n_init, iterations=iterations, attribute_weights=attribute_weights) - + if get_all_clust_results # save all locally converged solutions and the best into a struct clust_result = ClustResultAll(clust_data,cost,clust_config,centers_all,weights_all,clustids_all,cost_all,iter_all) @@ -85,7 +122,7 @@ function run_clust_method(data::ClustData; data_norm = attribute_weighting(data_norm,attribute_weights) end data_norm_merged = ClustDataMerged(data_norm) - + # initialize data arrays (all initial starting points) centers = Array{Array{Float64},1}(undef,n_init) clustids = Array{Array{Int,1},1}(undef,n_init) @@ -112,7 +149,7 @@ function run_clust_method(data::ClustData; k_ids=orig_k_ids k_ids[findall(orig_k_ids.!=0)]=clustids[ind_mincost] # save in merged format as array - + # NOTE if you need clustered data more precise than 8 digits change the following line accordingly n_digits_data_round=8 # Gurobi throws warning when rounding errors on order~1e-13 are passed in. Rounding errors occur in clustering of many zeros (e.g. solar). clust_data_merged = ClustDataMerged(data.region,data.years,n_clust,data.T,round.(centers[ind_mincost]; digits=n_digits_data_round),data_type(data),weights[ind_mincost],k_ids) @@ -121,12 +158,20 @@ function run_clust_method(data::ClustData; end """ - run_clust(data::ClustData,n_clust_ar::Array{Int,1};norm_op::String="zscore",norm_scope::String="full",method::String="kmeans",representation::String="centroid",n_init::Int=100,iterations::Int=300,save::String="",kwargs...) -This function is a wrapper function around run_clust(). It runs multiple number of clusters k and returns an array of results. -norm_op: "zscore", "01"(not implemented yet) -norm_scope: "full","sequence","hourly" -method: "kmeans","kmedoids","kmedoids_exact","hierarchical" -representation: "centroid","medoid" + run_clust( + data::ClustData, + n_clust_ar::Array{Int,1}; + norm_op::String="zscore", + norm_scope::String="full", + method::String="kmeans", + representation::String="centroid", + n_init::Int=100, + iterations::Int=300, + save::String="", + kwargs...) + +Run multiple number of clusters k and return an array of results. +This function is a wrapper function around run_clust(). """ function run_clust( data::ClustData, diff --git a/src/optim_problems/cap_exp.jl b/src/optim_problems/cap_exp.jl deleted file mode 100644 index ec0bc16..0000000 --- a/src/optim_problems/cap_exp.jl +++ /dev/null @@ -1,131 +0,0 @@ -#using ClustForOpt_priv -using JuMP -using Clp -using DataFrames - # parameters - -acf = 0.1 # annualized cost of capital factor - -c_cap_s = (11.94e6 + acf*2.58e9)*20/100 # $/GW # 20/100 ~ 0.5$/W, 40/100~ 1$/W -c_cap_w = 30.98e6 + acf*1.74e9 # $/GW -c_cap_gas = 11.96e6 + acf*0.968e9 # $/GW -c_cap_nuc = 92.04e6 + acf*3.82e9 # $/GW -c_cap_coal = 28.15e6 + acf*2.22e9 # $/GW -c_cap = [c_cap_coal,c_cap_nuc,c_cap_gas,c_cap_w,c_cap_s] - -c_var_s = 0.5 # $/GWh -c_var_w = 0.5 # $/GWh -c_var_gas = 41500 # $/GWh -c_var_nuc = 7025 # $/GWh -c_var_coal = 23000 # $/GWh -c_var = [c_var_s,c_var_w,c_var_gas,c_var_nuc,c_var_coal] -c_var = [c_var_coal,c_var_nuc,c_var_gas,c_var_w,c_var_s] - - -c_lost = 1000e6 # $/GW # VOLL - - -n_years = 10 # depreciation period for capital -r = 0.07 # real discount rate - - # load input data - -de= readtable("/home/hteich/.julia/v0.6/ClustForOpt_priv/data/texas_merrick/demand.txt",separator=' ')[:DEM] # MW -d=reshape(de,(size(de)[1],1)) - # load growth -d=1.486*d -d=d/1000 # GW - - #d = rand(8760,1) # demand - # load growth *1.5 (footnote 6 merrick) -a_s= readtable("/home/hteich/.julia/v0.6/ClustForOpt_priv/data/texas_merrick/TexInsolationFactorV1.txt",separator=' ')[:solar_61] -a_s=reshape(a_s,(size(a_s)[1],1)) - a_s = a_s/1000 - #a_s = rand(8760,1) # availability solar - #a_w = rand(8760,1) # availability wind -a_w= readtable("/home/hteich/.julia/v0.6/ClustForOpt_priv/data/texas_merrick/windfactor2.txt",separator=' ')[:Wind_61] -a_w=reshape(a_w,(size(a_w)[1],1)) -a_gas = ones(8760,1) -a_nuc = ones(8760,1) -a_coal =ones(8760,1) -a= [a_coal,a_nuc,a_gas,a_w,a_s] - - -N=ones(8760,1) - -del_t = 1 # hour - - ### SETS #### -K = size(d)[1] -T = size(d)[2] -G_names = ["coal","nuclear","gas","wind","solar"] # generators -n_G = length(G_names) - - - ##### MODEL ##### -m = Model(optimizer=ClpSolver()) - - ### VARIABLES ## - ### DESIGN VARIABLES ### -# generation capacity build -@variable(m,G_max[1:n_G] >= 0) # GWh - - ### OPERATIONAL VARIABLES #### -# generation of individual generator per time step -@variable(m,G[1:n_G,1:K,1:T] >=0) - - ##### OBJECTIVE FUNCTION ##### - @objective(m,Min,sum(c_cap[g]*G_max[g] for g=1:n_G) + - sum(sum(sum( c_var[g]*G[g,k,t] - for k=1:K ) - for t=1:T ) - for g=1:n_G ) - ) - - #### CONSTRAINTS ###### - # energy balance constraint -@constraint(m,[k=1:K,t=1:T], sum(G[g,k,t] for g=1:n_G) >= d[k,t]) - # maximum power production constraint -@constraint(m,[g=1:n_G,k=1:K,t=1:T], G[g,k,t] <= G_max[g] * a[g][k,t] ) - - - #### SOLVE #### - status = solve(m) - - #### Output results #### - G_max = getvalue(G_max) - G = getvalue(G) # installed capacity - G_gen =sum(G[:,:,1],2) # generated power - - - if true - using PyPlot - - figure() - bt = zeros(length(G_max)) - for i=2:length(bt) - bt[i]=cumsum(G_max)[i-1] - end - for i=1:length(G_max) - bar(1, G_max[i],bottom=bt[i],color=cols[i],label=G_names[i]) - end - ylabel("GW") - legend() - title("Capacity built") - - figure() - bt = zeros(length(G_gen)) - for i=2:length(bt) - bt[i]=cumsum(G_gen)[i-1] - end - for i=1:length(G_gen) - bar(1, G_gen[i],bottom=bt[i],color=cols[i],label=G_names[i]) - end - ylabel("GWh") - legend() - title("Power generated") - - - end - - # TODO - add clustering, check on paper what to do next diff --git a/src/optim_problems/run_opt.jl b/src/optim_problems/run_opt.jl index 7a6169b..3b4974e 100644 --- a/src/optim_problems/run_opt.jl +++ b/src/optim_problems/run_opt.jl @@ -1,4 +1,4 @@ -#TODO Rewrite battery problem +#TODO Rewrite battery problem / update to JuMP v0.19, give optimizer CLP as addtional argument """ run_battery_opt(data::ClustData) @@ -89,6 +89,7 @@ end # run_battery_opt() ### +#TODO update gas turbine problem, update to JuMP v0.19 """ run_gas_opt(data::ClustData) diff --git a/src/utils/datastructs.jl b/src/utils/datastructs.jl index 3a2b55a..1246853 100644 --- a/src/utils/datastructs.jl +++ b/src/utils/datastructs.jl @@ -4,7 +4,6 @@ abstract type TSData <:InputData end abstract type OptData <: InputData end abstract type AbstractClustResult end -"FullInputData" struct FullInputData <: TSData region::String years::Array{Int,1} @@ -13,16 +12,20 @@ struct FullInputData <: TSData end """ - ClustData{region::String,K::Int,T::Int,data::Dict{String,Array},weights::Array{Float64,2},mean::Dict{String,Array},sdv::Dict{String,Array},delta_t::Array{Float64,2},k_ids::Array{Int}} <: TSData -- region: optional information to specify the region data belongs to -- K: number of periods -- T: time steps per period -- data: Dictionary with an entry for each attribute `[file name (e.g technology)]-[column name (e.g. location)]`, Each entry of the dictionary is a 2-dimensional `time-steps T x periods K`-Array holding the actual value -- weights: 1-dimensional `periods K`-Array with the absolute weight for each period. E.g. for a year of 365 days, sum(weights)=365 -- mean: Dictionary with a entry for each attribute `[file name (e.g technology)]-[column name (e.g. location)]`, Each entry of the dictionary is a 1-dimensional `periods K`-Array holding the shift of the mean -- sdv: Dictionary with an entry for each attribute `[file name (e.g technology)]-[column name (e.g. location)]`, Each entry of the dictionary is a 1-dimensional `periods K`-Array holding the standard deviation -- delta_t: 2-dimensional `time-steps T x periods K`-Array with the temporal duration Δt for each timestep in [h] -- k_ids: 1-dimensional `original periods I`-Array with the information, which original period is represented by which period K. If an original period is not represented by any period within this ClustData the entry will be `0`. + ClustData <: TSData + +Contains time series data by attribute (e.g. wind, solar, electricity demand) and respective information. + +Fields: +- region::String: optional information to specify the region data belongs to +- K::Int: number of periods +- T::Int: time steps per period +- data::Dict{String,Array}: Dictionary with an entry for each attribute `[file name (attribute: e.g technology)]-[column name (node: e.g. location)]`, Each entry of the dictionary is a 2-dimensional `time-steps T x periods K`-Array holding the data +- weights::Array{Float64,2}: 1-dimensional `periods K`-Array with the absolute weight for each period. The weight of a period corresponds to the number of days it representes. E.g. for a year of 365 days, sum(weights)=365 +- mean::Dict{String,Array}: Dictionary with a entry for each attribute `[file name (e.g technology)]-[column name (e.g. location)]`, Each entry of the dictionary is a 1-dimensional `periods K`-Array holding the shift of the mean. This is used internally for normalization. +- sdv::Dict{String,Array}: Dictionary with an entry for each attribute `[file name (e.g technology)]-[column name (e.g. location)]`, Each entry of the dictionary is a 1-dimensional `periods K`-Array holding the standard deviation. This is used internally for normalization. +- delta_t::Array{Float64,2}: 2-dimensional `time-steps T x periods K`-Array with the temporal duration Δt for each timestep. The default is that all timesteps have the same length. +- k_ids::Array{Int}: 1-dimensional `original periods I`-Array with the information, which original period is represented by which period K. E.g. if the data is a year of 365 periods, the array has length 365. If an original period is not represented by any period within this ClustData the entry will be `0`. """ struct ClustData <: TSData region::String @@ -37,7 +40,23 @@ struct ClustData <: TSData k_ids::Array{Int} end -"ClustDataMerged" +""" + ClustDataMerged <: TSData + +Contains time series data by attribute (e.g. wind, solar, electricity demand) and respective information. + +Fields: +- region::String: optional information to specify the region data belongs to +- K::Int: number of periods +- T::Int: time steps per period +- data::Array: Array of the dimension `(time-steps T * length(data_types) x periods K`. The first T rows are data_type 1, the second T rows are data_type 2, ... +- data_type::Array{String}: The data types (attributes) of the data. +- weights::Array{Float64,2}: 1-dimensional `periods K`-Array with the absolute weight for each period. E.g. for a year of 365 days, sum(weights)=365 +- mean::Dict{String,Array}: Dictionary with a entry for each attribute `[file name (e.g technology)]-[column name (e.g. location)]`, Each entry of the dictionary is a 1-dimensional `periods K`-Array holding the shift of the mean +- sdv::Dict{String,Array}: Dictionary with an entry for each attribute `[file name (e.g technology)]-[column name (e.g. location)]`, Each entry of the dictionary is a 1-dimensional `periods K`-Array holding the standard deviation +- delta_t::Array{Float64,2}: 2-dimensional `time-steps T x periods K`-Array with the temporal duration Δt for each timestep in [h] +- k_ids::Array{Int}: 1-dimensional `original periods I`-Array with the information, which original period is represented by which period K. If an original period is not represented by any period within this ClustData the entry will be `0`. +""" struct ClustDataMerged <: TSData region::String years::Array{Int} @@ -52,7 +71,35 @@ struct ClustDataMerged <: TSData k_ids::Array{Int} end -"ClustResultAll" +""" + ClustResult <: AbstractClustResult +Contains the results from a clustering run: The data, the cost in terms of the clustering algorithm, and a config file describing the clustering method used. + +Fields: +- clust_data::ClustData +- cost::Float64: Cost of the clustering algorithm +- config::Dict{String,Any}: Details on the clustering method used +""" +struct ClustResult <: AbstractClustResult + clust_data::ClustData + cost::Float64 + config::Dict{String,Any} +end + +""" + ClustResultAll <: AbstractClustResult +Contains the results from a clustering run for all locally converged solutions + +Fields: +- clust_data::ClustData: The best centers, weights, clustids in terms of cost of the clustering algorithm +- cost::Float64: Cost of the clustering algorithm +- config::Dict{String,Any}: Details on the clustering method used +- centers_all::Array{Array{Float64},1} +- weights_all::Array{Array{Float64},1} +- clustids_all::Array{Array{Int,1},1} +- cost_all::Array{Float64,1} +- iter_all::Array{Int,1} +""" struct ClustResultAll <: AbstractClustResult clust_data::ClustData cost::Float64 @@ -64,16 +111,20 @@ struct ClustResultAll <: AbstractClustResult iter_all::Array{Int,1} end -# TODO: not used yet, but maybe best to implement this one later for users who just want to use clustering but do not care about the locally converged solutions -"ClustResult" -struct ClustResult <: AbstractClustResult - clust_data::ClustData - cost::Float64 - config::Dict{String,Any} -end +""" + SimpleExtremeValueDescr + +Defines a simple extreme day by its characteristics -"SimpleExtremeValueDescr" +Fields: + +- data_type::String : Choose one of the attributes from the data you have loaded into ClustData +- extremum::String : `min`,`max` +- peak_def::String : `absolute`,`integral` +- consecutive_periods::Int: For a single extreme day, set as 1 +""" struct SimpleExtremeValueDescr + # TODO: make this one constructor, with consecutive_periods as optional argument data_type::String extremum::String peak_def::String @@ -93,6 +144,18 @@ struct SimpleExtremeValueDescr end end +""" + SimpleExtremeValueDescr(data_type::String, + extremum::String, + peak_def::String) + +Defines a simple extreme day by its characteristics + +Input options: +- data_type::String : Choose one of the attributes from the data you have loaded into ClustData +- extremum::String : `min`,`max` +- peak_def::String : `absolute`,`integral` +""" function SimpleExtremeValueDescr(data_type::String, extremum::String, peak_def::String) diff --git a/src/utils/load_data.jl b/src/utils/load_data.jl index d546fef..45f2d7b 100644 --- a/src/utils/load_data.jl +++ b/src/utils/load_data.jl @@ -1,17 +1,31 @@ """ - load_timeseriesdata(data_path::String; T-#Segments,years::Array{Int,1}=# years to be selected for the time series, att::Array{String,1}=# attributes to be loaded) -- Loading all `*.csv` files in the folder or the file `data_path` + function load_timeseries_data(data_path::String; + region::String="none", + T::Int=24, + years::Array{Int,1}=[2016], + att::Array{String,1}=Array{String,1}()) + +Return all time series as ClustData struct that are stored as csv files in the specified path. + +- Loads `*.csv` files in the folder or the file `data_path` +- Loads all attributes (all `*.csv` files) if the `att`-Array is empty or only the files specified in `att` - The `*.csv` files shall have the following structure and must have the same length: |Timestamp |Year |[column names...]| |----------|------|-----------------| |[iterator]|[year]|[values] | -- The first column should be called `Timestamp` if it contains a time iterator +- The first column of a `.csv` file should be called `Timestamp` if it contains a time iterator - The second column should be called `Year` and contains the corresponding year -- The other columns can specify the single timeseries like specific geolocation. -- Each column in `[file name].csv` file will be added to the ClustData.data called `"[file name]-[column name]"` -- Loads all attributes if the `att`-Array is empty or only the ones specified in it +- Each other column should contain the time series data. For one node systems, only one column is used; for an N-node system, N columns need to be used. In an N-node system, each column specifies time series data at a specific geolocation. +- Returns time series as ClustData struct +- The `.data` field of the ClustData struct is a Dictionary where each column in `[file name].csv` file is the key (called `"[file name]-[column name]"`). `file name` should correspond to the attribute name, and `column name` should correspond to the node name. + +Optional inputs to `load_timeseries_data`: +- region-region descriptor +- T- Number of Segments +- years::Array{Int,1}= The years to be selected from the csv file as specified in `years column` +- att::Array{String,1}= The attributes to be loaded. If left empty, all attributes will be loaded. """ -function load_timeseries_data(data_path; +function load_timeseries_data(data_path::String; region::String="none", T::Int=24, years::Array{Int,1}=[2016], @@ -42,6 +56,50 @@ function load_timeseries_data(data_path; return ts_input_data end #load_timeseries_data +""" + function load_timeseries_data(existing_data::Symbol; + region::String="none", + T::Int=24, + years::Array{Int,1}=[2016], + att::Array{String,1}=Array{String,1}()) + +Return time series of example data sets as ClustData struct. + +The choice of example data set is given by e.g. existing_data=:CEP-GER1. Example data sets are: +- `:DAM_CA` : Hourly Day Ahead Market Electricity prices for California-Stanford 2015 +- `:DAM_GER` : Hourly Day Ahead Market Electricity prices for Germany 2015 +- `:CEP_GER1` : Hourly Wind, Solar, Demand data Germany one node +- `:CEP_GER18`: Hourly Wind, Solar, Demand data Germany 18 nodes + +Optional inputs to `load_timeseries_data`: +- region-region descriptor +- T- Number of Segments +- years::Array{Int,1}= The years to be selected from the csv file as specified in `years column` +- att::Array{String,1}= The attributes to be loaded. If left empty, all attributes will be loaded. +""" +function load_timeseries_data(existing_data::Symbol; + region::String="none", + T::Int=24, + years::Array{Int,1}=[2016], + att::Array{String,1}=Array{String,1}()) + data_path = normpath(joinpath(dirname(@__FILE__),"..","..","data")) + if existing_data == :DAM_CA + data_path=joinpath(data_path,"DAM","CA") + years=[2015] + elseif existing_data == :DAM_GER + data_path=joinpath(data_path,"DAM","GER") + years=[2015] + elseif existing_data == :CEP_GER1 + data_path=joinpath(data_path,"TS_GER_1") + elseif existing_data == :CEP_GER18 + data_path=joinpath(data_path,"TS_GER_18") + else + @error("The symbol - $existing_data - does not exist") + end + return load_timeseries_data(data_path;region=region,T=T,years=years,att=att) +end + + """ add_timeseries_data!(dt::Dict{String,Array}, data::DataFrame; K::Int=0, T::Int=24, years::Array{Int,1}=[2016]) selects first the years and second the data_points so that their number is a multiple of T and same with the other timeseries From 9efe65061c2f733ecb09105f0f610094408ec0e8 Mon Sep 17 00:00:00 2001 From: Holger Teichgraeber Date: Tue, 25 Jun 2019 16:26:15 -0700 Subject: [PATCH 03/34] update README --- README.md | 129 ++++++++++++++++++++++++------------------------------ 1 file changed, 56 insertions(+), 73 deletions(-) diff --git a/README.md b/README.md index 26ebcaa..3185125 100644 --- a/README.md +++ b/README.md @@ -5,15 +5,37 @@ [![License](http://img.shields.io/badge/license-MIT-brightgreen.svg?style=flat)](LICENSE) [![Build Status](https://travis-ci.com/holgerteichgraeber/ClustForOpt.jl.svg?token=HRFemjSxM1NBCsbHGNDG&branch=master)](https://travis-ci.com/holgerteichgraeber/ClustForOpt.jl) -ClustForOpt is a [julia](www.juliaopt.com) implementation of clustering methods for finding representative periods for the optimization of energy systems. The package can be used in conjunction with the multi-node capacity expansion model [CapacityExpansion](https://github.com/YoungFaithful/CapacityExpansion.jl). -The package has two main purposes: 1) Provide a simple process of clustering time-series input data, with clustered data output in a generalized type system 2) provide an interface between clustered data and optimization problem. +[ClustForOpt](https://github.com/holgerteichgraeber/ClustForOpt.jl) is a [julia](https://www.juliaopt.com) implementation of clustering methods and extreme value selection methods for finding representative periods for energy systems optimization problems. -The package follows the clustering framework presented in [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012). -The package is actively developed, and new features are continuously added. For a reproducible version of the methods and data of the original paper by [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012), please refer to release [v0.1](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/v0.1). +The package has two main purposes: 1) Provide a simple process of finding representative periods for time-series input data, with representative period data output in a generalized type system 2) provide an interface between representative period data and optimization problem. + +An example energy systems optimization problem that uses ClustForOpt for its input data is the package [CapacityExpansion](https://github.com/YoungFaithful/CapacityExpansion.jl), which implements a scalable generation and transmission capacity expansion problem. + +The ClustForOpt package follows the clustering framework presented in [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012). +The package is actively developed, and new features are continuously added. For a reproducible version of the methods and data of the original paper by [Teichgraeber and Brandt, 2019](https://doi.org/10.1016/j.apenergy.2019.02.012), please refer to [v0.1](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/v0.1). This package is developed by Holger Teichgraeber [@holgerteichgraeber](https://github.com/holgerteichgraeber) and Elias Kuepper [@YoungFaithful](https://github.com/youngfaithful). +## Installation +This package runs under julia v1.0 and higher. +Install using: + +```julia +import Pkg +Pkg.add("ClustForOpt") +``` + +## Documentation +Please refer to the documentation for details on how to use ClustForOpt: +[Documentation (Stable)](https://holgerteichgraeber.github.io/ClustForOpt.jl/stable) + +The documentation for the development version of ClustForOpt can be found here: +[Documentation (Development)](https://holgerteichgraeber.github.io/ClustForOpt.jl/dev) + +**See [NEWS](NEWS.md) for significant breaking changes when updating from one version of ClustForOpt to another.** + +## Citing ClustForOpt If you find ClustForOpt useful in your work, we kindly request that you cite the following paper ([link](https://doi.org/10.1016/j.apenergy.2019.02.012)): ``` @@ -28,82 +50,43 @@ If you find ClustForOpt useful in your work, we kindly request that you cite the } ``` -## Installation -This package runs under julia v1.0 and higher. -Install using: +## Quick Start Guide -```julia -] -add ClustForOpt -``` -where `]` opens the julia package manager. - -**See [NEWS](NEWS.md) for significant breaking changes when updating from one version of ClustForOpt to another.** - -## Documentation -[Stable](https://holgerteichgraeber.github.io/ClustForOpt.jl/stable) +This quick start guide introduces the main concepts of using ClustForOpt. For more detail on the different functionalities that ClustForOpt provides, please refer to the subsequent chapters of the documentation or the examples in the [examples](https://github.com/holgerteichgraeber/ClustForOpt.jl/tree/master/examples) folder. -[Development](https://holgerteichgraeber.github.io/ClustForOpt.jl/dev) - -## Workflow - -Generally, the workflow requires three steps: +Generally, the workflow consists of three steps: - load data -- clustering +- find representative periods (clustering + extreme period selection) - optimization -An example workflow with examples on how to use the different functions can be found in [`examples/workflow_introduction.jl`](examples/workflow_introduction.jl) - -```julia +## Example Workflow +After ClustForOpt is installed, you can use it by saying: +```@repl workflow using ClustForOpt - -# load data (electricity price day ahead market) -ts_input_data, = load_timeseries_data("DAM", "GER";K=365, T=24) #DAM - -# run standard kmeans clustering algorithm to cluster into 5 representative periods, with 1000 initial starting points -clust_res = run_clust(ts_input_data;method="kmeans",representation="centroid",n_clust=5,n_init=1000) - -# battery operations optimization on the clustered data -opt_res = run_opt(clust_res) ``` -### Load data -`load_timeseries_data()` loads the data for a given `application` and `region`. -Possible applications are -- `DAM`: Day ahead market price data -- `CEP`: Capacity Expansion Problem data - -Possible regions are: -- `GER`: Germany -- `CA`: California -- `TX`: Texas - -The optional input parameters to `load_timeseries_data()` are the number of periods `K` and the number of time steps per period `T`. By default, they are chosen such that they result in daily time slices. - - -### Clustering -`run_clust()` takes the full `data` and gives a struct with the clustered data as the output. - -The input parameter `n_clust` determines the number of clusters,i.e., representative periods. - -#### Supported clustering methods - -The following combinations of clustering method and representations are supported by [run\_clust()](src/clustering/run_clust.jl): - -Name | method | representation ----- | --------------- | ----------------------- -k-means clustering | `` | `` -k-means clustering with medoid representation | `` | `` -k-medoids clustering (partitional) | `` | `` -k-medoids clustering (exact) [requires Gurobi] | `` | `` -hierarchical clustering with centroid representation | `` | `` -hierarchical clustering with medoid representation | `` | `` - -For use of DTW barycenter averaging (DBA) and k-shape clustering on single-attribute data (e.g. electricity prices), please use branch `v0.1-appl_energy-framework-comp`. - - +The first step is to load the data. The following example loads hourly wind, solar, and demand data for Germany (1 region) for one year. +```@repl workflow +ts_input_data = load_timeseries_data(:CEP_GER1) +``` +The output `ts_input_data` is a `ClustData` data struct that contains the data and additional information about the data. +```@repl workflow +ts_input_data.data # a dictionary with the data. +ts_input_data.data["wind-germany"] # the wind data (choose solar, el_demand as other options in this example) +ts_input_data.K # number of periods +``` -### Optimization -The function `run_opt()` runs the optimization problem and gives as an output a struct that contains optimal objective function value, decision variables, and additional info. The `run_opt()` function infers the optimization problem type from the input data. See the examples folder for further details. +The second step is to cluster the data into representative periods. Here, we use k-means clustering and get 5 representative periods. +```@repl workflow +clust_res = run_clust(ts_input_data;method="kmeans",n_clust=5) +ts_clust_data = clust_res.clust_data +``` +The `ts_clust_data` is a `ClustData` data struct, this time with clustered data (i.e. less representative periods). +```@repl workflow +ts_clust_data.data # the clustered data +ts_clust_data.data["wind-germany"] # the wind data. Note the dimensions compared to ts_input_data +ts_clust_data.K # number of periods +``` -A Capacity Expansion Optimization Problem that utilizes `ClustForOpt` can be found in the package [CapacityExpansion](https://github.com/YoungFaithful/CapacityExpansion.jl). +The clustered input data can be used as input to an optimization problem. +The optimization problem formulated in the package [CapacityExpansion](https://github.com/YoungFaithful/CapacityExpansion.jl) can be used with the data clustered in this example. From f57ef0ae4b39ecd4cbef5a0632dc18fc3960b4f0 Mon Sep 17 00:00:00 2001 From: Holger Teichgraeber Date: Thu, 27 Jun 2019 10:44:04 -0700 Subject: [PATCH 04/34] bugfix hierarchical medoid --- src/clustering/run_clust.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/clustering/run_clust.jl b/src/clustering/run_clust.jl index 2396186..e2ae2e5 100644 --- a/src/clustering/run_clust.jl +++ b/src/clustering/run_clust.jl @@ -452,7 +452,7 @@ function run_clust_hierarchical_medoid( iterations::Int; _dist::SemiMetric = SqEuclidean() ) - ~,weights,clustids,~,iter= run_clust_hierarchical(data_norm,n_clust,iterations;_dist=_dist) + ~,weights,clustids,~,iter= run_clust_hierarchical(data_norm.data,n_clust,iterations;_dist=_dist) centers_norm = calc_medoids(data_norm.data,clustids) cost = calc_SSE(data_norm.data,centers_norm,clustids) centers = undo_z_normalize(centers_norm,data_norm.mean,data_norm.sdv;idx=clustids) From 6153579d41961294d67d60f7ffef79641dcabaad Mon Sep 17 00:00:00 2001 From: Holger Teichgraeber Date: Thu, 27 Jun 2019 10:59:49 -0700 Subject: [PATCH 05/34] run_clust reference scenario generation and test folder cleanup --- test/capacityexpansion.jl | 60 ------------------------- test/cep_exact_data.jld2 | Bin 650740 -> 0 bytes test/reference_generation/run_clust.jl | 44 ++++++++++++++++++ test/run_clust.jl | 53 ++++++++++++++++++++++ test/runtests.jl | 12 ----- test/{clustering.jl => z_normalize.jl} | 0 6 files changed, 97 insertions(+), 72 deletions(-) delete mode 100644 test/capacityexpansion.jl delete mode 100644 test/cep_exact_data.jld2 create mode 100644 test/reference_generation/run_clust.jl create mode 100644 test/run_clust.jl delete mode 100644 test/runtests.jl rename test/{clustering.jl => z_normalize.jl} (100%) diff --git a/test/capacityexpansion.jl b/test/capacityexpansion.jl deleted file mode 100644 index 049f978..0000000 --- a/test/capacityexpansion.jl +++ /dev/null @@ -1,60 +0,0 @@ -using Test -using CapacityExpansion -using Clp - -@testset "CEP" begin - @testset "TX_1" begin #Compare to Merrick Testcase - # load data - ts_input_data = load_timeseries_data_provided("TX_1"; T=24, years=[2008]) - cep_input_data=load_cep_data_provided("TX_1") - # run clustering - ts_clust_res = run_clust(ts_input_data;method="kmeans",representation="centroid",n_init=1,n_clust=365) # default k-means - # run optimization - model = run_opt(ts_clust_res.clust_data,cep_input_data,Clp.Optimizer) - # compare to exact result - exact_res=[70540.26439790576;0.0;8498.278397905757;0.0;80132.88454450261] - @test exact_res ≈ model.variables["CAP"].data[:,1,1] atol=1 - end - scenarios=Dict{String,OptResult}() - #Test the workflow for single node scenarios for Germany and California - @testset "workflow $state" for (state, years) in [["GER_1", [2016]],["CA_1", [2016]]] begin - # laod data - ts_input_data = load_timeseries_data_provided(state; T=24, years=years) #CEP - cep_data = load_cep_data_provided(state) - ## CLUSTERING ## - ts_clust_data = run_clust(ts_input_data;method="hierarchical",representation="centroid",n_init=1,n_clust=3) - ts_full_data = run_clust(ts_input_data;method="hierarchical",representation="centroid",n_init=1,n_clust=30) - ## OPTIMIZATION ## - optimizer=Clp.Optimizer - scenarios["$state-$years-co2"] = run_opt(ts_clust_data.clust_data,cep_data,optimizer;descriptor="co2",co2_limit=1000) - scenarios["$state-$years-slack"] = run_opt(ts_clust_data.clust_data,cep_data,optimizer;descriptor="slack",lost_el_load_cost=1e6, lost_CO2_emission_cost=700) - scenarios["$state-$years-ex"] = run_opt(ts_clust_data.clust_data,cep_data,optimizer;descriptor="ex",existing_infrastructure=true) - scenarios["$state-$years-simple"] = run_opt(ts_clust_data.clust_data,cep_data,optimizer;descriptor="simple storage",storage="simple") - scenarios["$state-$years-seasonal"] = run_opt(ts_clust_data.clust_data,cep_data,optimizer;descriptor="seasonal storage",storage="seasonal") - design_result=run_opt(ts_clust_data.clust_data,cep_data,optimizer;descriptor="des&op") - scenarios["$state-$years-des&op"] = run_opt(ts_full_data.clust_data,cep_data,design_result.opt_config,get_cep_design_variables(design_result),optimizer;lost_el_load_cost=1e6,lost_CO2_emission_cost=700) - end - end - #Test transmission for a multi-node scenario - @testset "workflow $state" for (state, years) in [["GER_18", [2016]],["CA_14", [2016]]] begin - # laod data - ts_input_data = load_timeseries_data_provided(state; T=24, years=years) #CEP - cep_data = load_cep_data_provided(state) - ## CLUSTERING ## - ts_clust_data = run_clust(ts_input_data;method="hierarchical",representation="centroid",n_init=1,n_clust=3) - ## OPTIMIZATION ## - optimizer=Clp.Optimizer - scenarios["$state-$years-trans"] = run_opt(ts_clust_data.clust_data,cep_data,optimizer;descriptor="trans",transmission=true) - end - end - #Test exact values for each of the previously calculated scenarios by comparison with exact scenarios 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z(Q#UuR%_%tDd#~fRP_r&*#4Tm;*UB=g`%8^ibgRuArx<1lP?twzc7nOjUg@w^ovkly_!&Ard zmpE_mt9J8e76;QGt%AB-r;q`FYwT;sqs4qW5FH4a?kz%>qBc@V;b6cUeZkv{SHl~BD8^Yv{w9sAILH)c;m2!VwL2Lzj651wrY>U zfHw*g7kCD|F Date: Thu, 27 Jun 2019 11:44:15 -0700 Subject: [PATCH 06/34] bugfix kmeans centroid n_clust=K --- src/clustering/run_clust.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/clustering/run_clust.jl b/src/clustering/run_clust.jl index 2d55ba6..1af368c 100644 --- a/src/clustering/run_clust.jl +++ b/src/clustering/run_clust.jl @@ -312,7 +312,7 @@ function run_clust_kmeans_medoid( # kmeans() in Clustering.jl is implemented for k>=2 elseif n_clust==data_norm.K clustids = collect(1:data_norm.K) - centers = undo_z_normalize(data_norm,data_norm.mean,data_norm.sdv;idx=clustids) # need to provide idx in case that sequence-based normalization is used + centers = undo_z_normalize(data_norm.data,data_norm.mean,data_norm.sdv;idx=clustids) # need to provide idx in case that sequence-based normalization is used cost = 0.0 iter = 1 else From c6a5d19d6b6b162a40b29157eba898c743b43557 Mon Sep 17 00:00:00 2001 From: Holger Teichgraeber Date: Thu, 27 Jun 2019 13:32:40 -0700 Subject: [PATCH 07/34] run_clust n_clust=1,5,K tests - passing --- test/reference_generation/run_clust.jl | 21 +++++--- test/reference_generation/run_clust.jld2 | Bin 0 -> 22058425 bytes test/run_clust.jl | 62 +++++++++++++++++++---- 3 files changed, 67 insertions(+), 16 deletions(-) create mode 100644 test/reference_generation/run_clust.jld2 diff --git a/test/reference_generation/run_clust.jl b/test/reference_generation/run_clust.jl index 96475e6..70cf2ab 100644 --- a/test/reference_generation/run_clust.jl +++ b/test/reference_generation/run_clust.jl @@ -1,7 +1,9 @@ using ClustForOpt +using JLD2 reference_results = Dict{String,Any}() +Random.seed!(1111) for data in ["CEP_GER1","CEP_GER18"] ts_input_data = load_timeseries_data(Symbol(data)) #mr: method, representation, n_init @@ -13,6 +15,7 @@ for data in ["CEP_GER1","CEP_GER18"] ["hierarchical","medoid",1]] # default for (method,repr,n_init) in mr + Random.seed!(1111) try reference_results["$data-$method-$repr-default"] = run_clust(ts_input_data;method=method,representation=repr,n_clust=5,n_init=n_init) catch @@ -22,22 +25,28 @@ for data in ["CEP_GER1","CEP_GER18"] end # n_clust=1 for (method,repr,n_init) in mr + Random.seed!(1111) try - reference_results["$data-$method-$repr-default"] = run_clust(ts_input_data;method=method,representation=repr,n_clust=1,n_init=n_init) + reference_results["$data-$method-$repr-n_clust1"] = run_clust(ts_input_data;method=method,representation=repr,n_clust=1,n_init=n_init) catch - reference_results["$data-$method-$repr-default"] = "not defined" - println("$data-$method-$repr-default not defined") + reference_results["$data-$method-$repr-n_clust1"] = "not defined" + println("$data-$method-$repr-n_clust1 not defined") end end # n_clust = N for (method,repr,n_init) in mr + Random.seed!(1111) try - reference_results["$data-$method-$repr-default"] = run_clust(ts_input_data;method=method,representation=repr,n_clust=ts_input_data.K,n_init=n_init) + reference_results["$data-$method-$repr-n_clustK"] = run_clust(ts_input_data;method=method,representation=repr,n_clust=ts_input_data.K,n_init=n_init) catch - reference_results["$data-$method-$repr-default"] = "not defined" - println("$data-$method-$repr-default not defined") + reference_results["$data-$method-$repr-n_clustK"] = "not defined" + println("$data-$method-$repr-n_clustK not defined") end end +# mr_kmexact = [["kmedoids_exact","centroid",1], +# for (method,repr,n_init) in mr_kmexact + +# end end diff --git a/test/reference_generation/run_clust.jld2 b/test/reference_generation/run_clust.jld2 new file mode 100644 index 0000000000000000000000000000000000000000..f77210a3cb27c55552a8e61a2be658b6d140f6c8 GIT binary patch literal 22058425 zcmeFa2l&rr`~Uwo60(wn?48VyJ+dN+5R$UT$I8me3P~CyJA1rEq$#OX8cMQ914+>| 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