Spatial Network Decomposition for Fast and Scalable AC-OPF Learning

Spatial Network Decomposition for Fast and Scalable AC-OPF Learning

17 January 2021

Terrence W.K. Mak

Pascal Van Hentenryck

Papers citing "Spatial Network Decomposition for Fast and Scalable AC-OPF Learning"

6 / 6 papers shown

Title
Compact Optimization Learning for AC Optimal Power Flow Seonho Park Wenbo Chen Terrence W.K. Mak Pascal Van Hentenryck 22 17 0 21 Jan 2023
Self-Supervised Primal-Dual Learning for Constrained Optimization Seonho Park Pascal Van Hentenryck 30 46 0 18 Aug 2022
Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads Tsun Ho Aaron Cheung Mingliang Zhou Ming Chen 25 1 0 19 May 2022
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
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch Wenbo Chen Seonho Park Mathieu Tanneau Pascal Van Hentenryck 19 42 0 27 Dec 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 78 199 0 19 Sep 2019