End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch

23 April 2023

Pascal Van Hentenryck

Papers citing "End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch"

22 / 22 papers shown

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 36 0 0 22 Mar 2025
Conformal Prediction with Upper and Lower Bound Models Miao Li Michael Klamkin Mathieu Tanneau Reza Zandehshahvar Pascal Van Hentenryck 48 0 0 06 Mar 2025
Impact of Data Poisoning Attacks on Feasibility and Optimality of Neural Power System Optimizers Nora Agah Meiyi Li Javad Mohammadi AAML 54 0 0 09 Feb 2025
Towards graph neural networks for provably solving convex optimization problems Chendi Qian Christopher Morris 52 0 0 04 Feb 2025
Learning to Optimize for Mixed-Integer Non-linear Programming Bo Tang Elias Boutros Khalil Ján Drgoňa 37 2 0 14 Oct 2024
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 163 3 0 14 Oct 2024
Compact Optimality Verification for Optimization Proxies Wenbo Chen Haoruo Zhao Mathieu Tanneau Pascal Van Hentenryck 38 0 0 31 May 2024
Dual Lagrangian Learning for Conic Optimization Mathieu Tanneau Pascal Van Hentenryck 27 4 0 05 Feb 2024
Dual Interior Point Optimization Learning Michael Klamkin Mathieu Tanneau Pascal Van Hentenryck 30 2 0 04 Feb 2024
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow Seonho Park Pascal Van Hentenryck AI4CE 33 0 0 29 Nov 2023
Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping Meiyi Li Javad Mohammadi 36 2 0 08 Nov 2023
Operational risk quantification of power grids using graph neural network surrogates of the DC OPF Yadong Zhang Pranav M. Karve Sankaran Mahadevan AI4CE 15 0 0 07 Nov 2023
Dual Conic Proxies for AC Optimal Power Flow Guancheng Qiu Mathieu Tanneau Pascal Van Hentenryck 37 8 0 04 Oct 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 38 2 0 08 Jul 2023
AI4OPT: AI Institute for Advances in Optimization Pascal Van Hentenryck Kevin Dalmeijer 26 4 0 05 Jul 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 52 85 0 17 Jun 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 29 3 0 26 Sep 2022
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions Shaohui Liu Chengyang Wu Hao Zhu 35 47 0 16 May 2022
DNN-based Policies for Stochastic AC OPF Sarthak Gupta Sidhant Misra Deepjyoti Deka V. Kekatos 34 13 0 04 Dec 2021
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