Openstf 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. openstf is available at: https://pypi.org/project/openstf/
pip install openstf
Optional: if you would like to use the proloaf model with openSTF install the proloaf dependencies by running:
pip install openstf[proloaf]
To run a task use:
python -m openstf task <task_name>
A complete implementation including databases, user interface, example data, etc. is available at: https://github.com/OpenSTEF/openstef-reference
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 and CONTRIBUTING.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 OpenSTF project
FAQs
Open short term forcasting
We found that openstf 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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