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Spatial Network Decomposition for Fast and Scalable AC-OPF Learning

Spatial Network Decomposition for Fast and Scalable AC-OPF Learning

17 January 2021
Minas Chatzos
Terrence W.K. Mak
Pascal Van Hentenryck
    AI4CE
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Papers citing "Spatial Network Decomposition for Fast and Scalable AC-OPF Learning"

4 / 4 papers shown
Title
Self-Supervised Primal-Dual Learning for Constrained Optimization
Self-Supervised Primal-Dual Learning for Constrained Optimization
Seonho Park
Pascal Van Hentenryck
20
45
0
18 Aug 2022
Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads
Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads
Tsun Ho Aaron Cheung
Mingliang Zhou
Ming Chen
17
1
0
19 May 2022
Risk-Aware Control and Optimization for High-Renewable Power Grids
Risk-Aware Control and Optimization for High-Renewable Power Grids
Neil Barry
Minas Chatzos
Wenbo Chen
Dahye Han
Chao-Ming Huang
...
Mathieu Tanneau
Pascal Van Hentenryck
Shangkun Wang
Hanyu Zhang
Haoruo Zhao
25
7
0
02 Apr 2022
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
76
160
0
19 Sep 2019
1