Published August 9, 2024
| Version v1
Dataset
Open
Accompanying data for publication: "Learning the Optimal Power Flow: Environment Design Matters"
Authors/Creators
- 1. Oldenburger Forschungs- und Entwicklungsinstitut für Informatik eV
- 2. Carl von Ossietzky University of Oldenburg
- 3. University of Oldenburg
Description
All the data created for the publication "Learning the Optimal Power Flow: Environment Design Matters" by Wolgast and Nieße. The dataset contains all training runs performed, including the final neural network weights, meta-data about the training run, and various metrics during the course of training, which were used to generate the results and plots. The source code to re-produce the plots for the publication (and everything else) can be found on GitHub: https://github.com/Digitalized-Energy-Systems/rl-opf-env-design
Files
results.zip
Files
(612.5 MB)
| Name | Size | Download all |
|---|---|---|
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md5:2e0567d7a7ebdea17786d8e417f9e38f
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612.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.1016/j.egyai.2024.100410 (DOI)
Software
- Repository URL
- https://github.com/Digitalized-Energy-Systems/rl-opf-env-design
- Programming language
- Python