Software Open Access
Supplementary Data and Code for "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks"
Venzke, Andreas;
Qu, Guannan;
Low, Steven;
Chatzivasileiadis, Spyros
Online appendix containing supplementary data and code to reproduce the simulation results in A. Venzke, G. Qu, S. Low and S. Chatzivasileiadis, "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks".
See readme.txt for a detailed description.
When publishing results based on this data/code, please cite: A. Venzke, G. Qu, S. Low and S. Chatzivasileiadis, "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks", 2020. Available online: https://arxiv.org/abs/2006.11029
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Indexed in
- Publication date:
- June 19, 2020
- DOI:
-
- Keyword(s):
- Neural networks Mixed-integer linear programming Optimal power flow
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International