Learning Optimization Proxies for Large-Scale Security-Constrained
Economic Dispatch

Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch

27 December 2021

Mathieu Tanneau

Pascal Van Hentenryck

Papers citing "Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch"

8 / 8 papers shown

Title
AI4OPT: AI Institute for Advances in Optimization Pascal Van Hentenryck Kevin Dalmeijer 6 4 0 05 Jul 2023
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study Robert Ferrando Laurent Pagnier R. Mieth Zhirui Liang Y. Dvorkin D. Bienstock Michael Chertkov 11 7 0 31 Mar 2023
Just-In-Time Learning for Operational Risk Assessment in Power Grids Oliver Stover Pranav M. Karve S. Mahadevan Wenbo Chen Haoruo Zhao Mathieu Tanneau Pascal Van Hentenryck 13 3 0 26 Sep 2022
Self-Supervised Primal-Dual Learning for Constrained Optimization Seonho Park Pascal Van Hentenryck 20 45 0 18 Aug 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
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning Minas Chatzos Terrence W.K. Mak Pascal Van Hentenryck AI4CE 32 38 0 17 Jan 2021
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015