Welcome to the OpenSTEF documentation!

OpenSTEF is a Python package which is used to make short term forecasts for the energy sector. It contains all components for the machine learning pipeline required to make a forecast. The openstef Python package and its installation instructions are available at: https://pypi.org/project/openstef/.

If you’re brand new, start by reading the architecture_methodology_components section. Otherwise, if you’re ready to start using OpenSTEF checkout the User guides.

• About OpenSTEF
• User guides
• Architecture, Methodology, and Components
• High level methodology OpenSTEF
• Split forecast: Domain Adaptation for Zero Shot Learning in Sequence (DAZLS)
• Overview of relational database
• Overview of timeseries database schema
• API reference
• Community

More on OpenSTEF

• Find the latest information on the project on the project’s website.

• You can also watch a video about OpenSTEF, instead of reading about the project.

• Want to join the discussion? Join our Teams channel.

Contributing

Please read CONTRIBUTING.md, CODE_OF_CONDUCT.md, and PROJECT_GOVERNANCE.md for details on the process for submitting pull requests to us.

License

This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.