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Learning-Accelerated ADMM for Distributed Optimal Power Flow

Learning-Accelerated ADMM for Distributed Optimal Power Flow

8 November 2019
David J. Biagioni
P. Graf
Xinming Zhang
Ahmed S. Zamzam
K. Baker
J. King
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Papers citing "Learning-Accelerated ADMM for Distributed Optimal Power Flow"

4 / 4 papers shown
Title
High-Fidelity Machine Learning Approximations of Large-Scale Optimal
  Power Flow
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow
Minas Chatzos
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
37
28
0
29 Jun 2020
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
B. Chang
Minmin Chen
E. Haber
Ed H. Chi
PINN
GNN
98
204
0
26 Feb 2019
Learning to Solve Large-Scale Security-Constrained Unit Commitment
  Problems
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
Á. Xavier
F. Qiu
Shabbir Ahmed
43
145
0
04 Feb 2019
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
105
1,460
0
05 Apr 2017
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