Data underlying the publication: PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation

Dataset

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}
Date made available5 Feb 2024
PublisherTU Delft - 4TU.ResearchData
Date of data production2024 -

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