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OpenSTEF is a Python package designed for generating short-term forecasts in the energy sector. The repository includes all the essential components required for machine learning pipelines that facilitate the forecasting process. To utilize the package, users are required to furnish their own data storage and retrieval interface.
pip install openstef
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
For more information on this issue see the readme of pywin32 or this Github issue.
If you want to install the openstef
package on Apple Silicon (Mac with M1-chip or newer), you can encounter issues with the dependencies, such as xgboost
. Solution:
brew install libomp
(if you haven’t installed Homebrew: follow instructions here)libomp
installation in /usr/local/bin
, it is probably in /opt/brew/Cellar
. Run:mkdir -p /usr/local/opt/libomp/
ln -s /opt/brew/Cellar/libomp/{your_version}/lib /usr/local/opt/libomp/lib
xgboost
with pip
(pip uninstall xgboost
) and install with conda-forge
(conda install -c conda-forge xgboost
)lightgbm
: uninstall lightgbm
with pip
(pip uninstall lightgbm
) and install later version with conda-forge
(conda install -c conda-forge 'lightgbm>=4.2.0'
)It is possible to install openSTEF with a minimal XGBoost (CPU-only) package. This only works on x86_64 (amd64) Linux and Windows platforms. Advantage is that significantly smaller dependencies are installed. In that case run:
pip install openstef[cpu]
To help you get started, a set of fundamental example notebooks has been created. You can access these offline examples here.
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.
To run a task use:
python -m openstef task <task_name>
This repository provides an interface to OpenSTEF (reference) databases. The repository can be found here.
This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.
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 CODE_OF_CONDUCT.md, CONTRIBUTING.md and PROJECT_GOVERNANCE.md for details on the process for submitting pull requests to us.
Please read SUPPORT.md for how to connect and get into contact with the OpenSTEF project
FAQs
Open short term energy forecaster
We found that openstef demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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