Description
Synthetic power flow dataset consist of three cases: 14-bus, 118-bus and 6470-bus. The line parameters, generator/load injections, voltage setpoints are randomly sampled based on the standard scenario. The 14-bus case consists of 100000 scenarios, 118-bus 50000 scenarios, and 6470-bus 30000 scenarios.
If you use parts of this dataset, please cite as:
@misc{lin2023powerflownet,
title={PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation},
author={Nan Lin and Stavros Orfanoudakis and Nathan Ordonez Cardenas and Juan S. Giraldo and Pedro P. Vergara},
year={2023},
eprint={2311.03415},
archivePrefix={arXiv},
primaryClass={cs.LG}
If you use parts of this dataset, please cite as:
@misc{lin2023powerflownet,
title={PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation},
author={Nan Lin and Stavros Orfanoudakis and Nathan Ordonez Cardenas and Juan S. Giraldo and Pedro P. Vergara},
year={2023},
eprint={2311.03415},
archivePrefix={arXiv},
primaryClass={cs.LG}
Date made available | 5 Feb 2024 |
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Publisher | TU Delft - 4TU.ResearchData |
Date of data production | 2024 - |