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

27 December 2021

Wenbo Chen

Seonho Park

Mathieu Tanneau

Pascal Van Hentenryck

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

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Title
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning Vahid Eghbal Akhlaghi Reza Zandehshahvar Pascal Van Hentenryck 31 0 0 10 Apr 2025
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow Andrew Rosemberg Michael Klamkin AI4CE 31 0 0 22 Mar 2025
Compact Optimality Verification for Optimization Proxies Wenbo Chen Haoruo Zhao Mathieu Tanneau Pascal Van Hentenryck 38 0 0 31 May 2024
Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement Hongwei Jin Prasanna Balaprakash Allen Zou Pieter Ghysels Aditi S. Krishnapriyan Adam Mate Arthur Barnes Russell Bent AI4CE 24 1 0 16 May 2024
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow Seonho Park Pascal Van Hentenryck AI4CE 31 0 0 29 Nov 2023
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier Farzaneh Pourahmadi J. Kazempour 22 3 0 07 Oct 2023
Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks Andrew W. Rosemberg Mathieu Tanneau Bruno Fanzeres Joaquim Dias Garcia Pascal Van Hentenryck 25 3 0 06 Oct 2023
Dual Conic Proxies for AC Optimal Power Flow Guancheng Qiu Mathieu Tanneau Pascal Van Hentenryck 31 8 0 04 Oct 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov Brandon Amos Aaron Ferber Taoan Huang B. Dilkina Yuandong Tian AI4CE 30 10 0 18 Jul 2023
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks Ritesh Ojha Wenbo Chen Hanyu Zhang Reem Khir A. Erera Pascal Van Hentenryck 35 2 0 08 Jul 2023
AI4OPT: AI Institute for Advances in Optimization Pascal Van Hentenryck Kevin Dalmeijer 24 4 0 05 Jul 2023
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch Wenbo Chen Mathieu Tanneau Pascal Van Hentenryck 26 29 0 23 Apr 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 26 7 0 31 Mar 2023
Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning Thomas Wolgast Astrid Nieße 23 1 0 03 Mar 2023
Compact Optimization Learning for AC Optimal Power Flow Seonho Park Wenbo Chen Terrence W.K. Mak Pascal Van Hentenryck 27 17 0 21 Jan 2023
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments Seonho Park Wenbo Chen Dahyeon Han Mathieu Tanneau Pascal Van Hentenryck 38 27 0 28 Nov 2022
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 21 3 0 26 Sep 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 27 187 0 26 Aug 2022
Self-Supervised Primal-Dual Learning for Constrained Optimization Seonho Park Pascal Van Hentenryck 35 46 0 18 Aug 2022
Bucketized Active Sampling for Learning ACOPF Michael Klamkin Mathieu Tanneau Terrence W.K. Mak Pascal Van Hentenryck 13 2 0 16 Aug 2022
Machine Learning for Electricity Market Clearing Laurent Pagnier Robert Ferrando Y. Dvorkin Michael Chertkov 24 1 0 23 May 2022
Learning Regionally Decentralized AC Optimal Power Flows with ADMM Terrence W.K. Mak Minas Chatzos Mathieu Tanneau Pascal Van Hentenryck 25 27 0 08 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 30 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 45 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 81 199 0 19 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015