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Steel industry

Models steel industry with the SEDOS reference dataset.

Introduction

Installation

To install steel_industry, follow these steps:

  • git-clone steel_industry into local folder: git clone https://github.com/sedos-project/steel_industry.git
  • enter folder cd steel_industry
  • create virtual environment using conda: conda env create -f environment.yml
  • activate environment: conda activate steel_industry
  • install data_adapter_oemof package using poetry, via: poetry install
  • If you have trouble try poetry update.

Data

Documentation

https://sedos-project.github.io/organization/scenarios/ https://sedos-project.github.io/organization/results/

Code linting

In this template, 3 possible linters are proposed:

  • flake8 only sends warnings and error about linting (PEP8)
  • pylint sends warnings and error about linting (PEP8) and also allows warning about imports order
  • black sends warning but can also fix the files for you

You can perfectly use the 3 of them or subset, at your preference. Don't forget to edit .travis.yml if you want to deactivate the automatic testing of some linters!

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Models steel industry with the SEDOS reference dataset

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