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Item | Link/Context | Notes |
Project Name | OpenSTF | Exact spelling and capitalization |
Logo | Link to SVG | Provided by LFE Staff |
Hero image | Let us know what you imagine on your site, or link an image that you’d like us to use. Final choice will be a decision of the LF Energy staff. | |
Wiki | OpenSTFOpenSTEF | Provided by LFE Staff, but built out by project |
Mailing List | Provided by LFE Staff | |
GitHub | https://github.com/alliander-opensource/openstf | |
Roadmap | ||
Metrics Dashboard | Provided by LFE Staff |
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Example content: Background of project and why it was created. Ultimate goals and objectives.
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/OpensSTF provides automated machine learning pipelines to deliver accurate, self-correcting and explainable forecasts of the load on the grid for the next 48 hours.
Project Details
The energy transition poses new challenges to all parties in the energy sector. For grid operators, the rise in renewable energy and electrification of energy consumption leads to the capacity of the grid to near its fysical constraints. Forecasting the load on the grid in the next hours to days is essential for anticipating on local congestion and making the most of existing assets.
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