Release 2.0.0

• Energy Yield Analysis (EYA) to Operational Assessment(OA) Gap Analysis method
• Uncertainty quantification for electrical losses and longterm turbine gross energy
• Implemented open source Engie example data, and complete update of example notebooks
• Switch to standard BSD-3 Clause license
• Automated quality control method to assist with data ingestion. Tools in this method include daylight savings time change detection and - identification of the diurnal cycle.
• Electrical losses method
• Method for estimating long-term turbine gross energy (excluding downtime and underperformance losses)
• User-facing CI pipeline using Github Actions
• Automatic documentation using ReadTheDocs
• Pip Package

Release 1.1

• Python3 Support
• Addition of reanalysis schemas to the Sphinx documentation
• Easy import of EIA data using new module: Metadata_Fetch
• Updated contributing.md document
• Quality checks for reanalysis data
• Improved installation instructions
• Integration tests are now performed in CI
• Performed PEP8 linting

Release 1.0

• Complete refactor of many analysis and toolkit modules.
• Timeseries Table is now an integrated component, no sparkplug-datastructures dependency
• Plant Level AEP method w/ Monte Carlo
• Turbine / Scada level toolkits: Filtering, Imputing, Met, Pandas Plotting, Timeseries, Unit Conversion
• Most toolkits and all methods are fully documented in Sphinx.
• Two example notebooks: Operational AEP Analysis and Turbine Analysis
• All toolkits except for Pandas Plotting have > 80% test coverage.