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

23 April 2023

Mathieu Tanneau

Pascal Van Hentenryck

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

9 / 9 papers shown

Title
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
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 72 1 0 14 Oct 2024
Dual Interior Point Optimization Learning Michael Klamkin Mathieu Tanneau Pascal Van Hentenryck 16 2 0 04 Feb 2024
AI4OPT: AI Institute for Advances in Optimization Pascal Van Hentenryck Kevin Dalmeijer 16 4 0 05 Jul 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 16 3 0 26 Sep 2022
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions Shaohui Liu Chengyang Wu Hao Zhu 19 45 0 16 May 2022
DNN-based Policies for Stochastic AC OPF Sarthak Gupta Sidhant Misra Deepjyoti Deka V. Kekatos 24 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 35 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