Open short term energy forecaster
OpenSTEF is a Python package which is used to make short term forecasts for the energy sector. This repository contains all components for the machine learning pipeline required to make a forecast. In order to use the package you need to provide your own data storage and retrieval interface.
Find the latest information on the project on the project's website.
openstef Python package is available at: https://pypi.org/project/openstef/.
Documentation is available at: https://openstef.github.io/openstef/index.html.
You can also watch a video about OpenSTEF instead of reading about the project.
Install the openstef package
pip install openstef
Optional: if you would like to use the proloaf model with OpenSTEF install the proloaf dependencies by running:
pip install openstef[proloaf]
Remark regarding installation within a conda environment on Windows:
A version of the pywin32 package will be installed as a secondary dependency along with the installation of the openstef package. Since conda relies on an old version of pywin32, the new installation can break conda's functionality. The following command can solve this issue:
pip install pywin32==300
To run a task use:
python -m openstef task <task_name>
A complete implementation including databases, user interface, example data, etc. is available at: https://github.com/OpenSTEF/openstef-reference
Screenshot of the operational dashboard showing the key functionality of OpenSTEF. Dashboard documentation can be found here.
This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.
Licenses third-party libraries
This project includes third-party libraries, which are licensed under their own respective Open-Source licenses. SPDX-License-Identifier headers are used to show which license is applicable. The concerning license files can be found in the LICENSES directory.
Please read SUPPORT.md for how to connect and get into contact with the OpenSTEF project
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.