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Learning to Solve AC Optimal Power Flow by Differentiating through
  Holomorphic Embeddings

Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings

16 December 2020
Henning Lange
Bingqing Chen
Mario Berges
S. Kar
ArXiv (abs)PDFHTML

Papers citing "Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings"

3 / 3 papers shown
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach
Ling Zhang
Baosen Zhang
183
14
0
04 Oct 2021
Reinforcement Learning for Battery Energy Storage Dispatch augmented
  with Model-based Optimizer
Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer
Gayathri Krishnamoorthy
A. Dubey
262
10
0
02 Sep 2021
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural
  Networks
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural NetworksIEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2021
M. Singh
V. Kekatos
G. Giannakis
282
97
0
27 Mar 2021
1
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