Learning Optimal Power Flow value functions with input-convex neural networks-Reference-Cited by-同舟云学术

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Learning Optimal Power Flow value functions with input-convex neural networks

Published:2024-10 Issue: Volume:235 Page:110643
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Rosemberg Andrew,Tanneau Mathieu^ORCID,Fanzeres Bruno^ORCID,Garcia Joaquim^ORCID,Van Hentenryck Pascal

Funder

National Science Foundation

Publisher

Elsevier BV

Reference36 articles.

1. Optimal power flows;Carpentier;Int. J. Electr. Power Energy Syst.,1979

2. Application of interior point methods to power flow unsolvability;Granville;IEEE Trans. Power Syst.,1996

3. End-to-end constrained optimization learning: A survey;Kotary,2021

4. Machine learning for optimal power flows;Van Hentenryck;Tutor. Oper. Res.: Emerg. Optim. Methods Model. Tech. Appl.,2021

5. Combining deep learning and optimization for preventive security-constrained DC optimal power flow;Velloso;IEEE Trans. Power Syst.,2021

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