Open short term forcasting
Project description
Openstef
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. openstef is available at: https://pypi.tw.martin98.com/project/openstef/
Installation
Install the openstef package
pip install openstef
Optional: if you would like to use the proloaf model with openSTF install the proloaf dependencies by running:
pip install openstef[proloaf]
Usage
To run a task use:
python -m openstef task <task_name>
Reference Implementation
A complete implementation including databases, user interface, example data, etc. is available at: https://github.com/OpenSTEF/openstef-reference
License
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.
Contributing
Please read CODE_OF_CONDUCT.md and CONTRIBUTING.md for details on the process for submitting pull requests to us.
Contact
Please read SUPPORT.md for how to connect and get into contact with the OpenSTEF project
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