Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow

17 March 2020

Papers citing "Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow"

6 / 6 papers shown

Title
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment Muhy Eddin Za'ter Amir Sajad B. Hodge 19 0 0 09 May 2025
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
Mixed-Integer Optimization with Constraint Learning Donato Maragno H. Wiberg Dimitris Bertsimas Ş. Birbil D. Hertog Adejuyigbe O. Fajemisin 59 50 0 04 Nov 2021
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment Alyssa Kody Samuel C. Chevalier Spyros Chatzivasileiadis Daniel Molzahn 64 37 0 21 Oct 2021
Optimization with Constraint Learning: A Framework and Survey Adejuyigbe O. Fajemisin Donato Maragno D. Hertog 55 46 0 05 Oct 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