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Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks

Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks

Andrew W. Rosemberg
Mathieu Tanneau
Bruno Fanzeres
Joaquim Dias Garcia
Pascal Van Hentenryck
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Papers citing "Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks"

5 / 5 papers shown
Title
ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming
ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming
Yu Liu
Fabricio Oliveira
51
0
0
08 May 2025
Fast and Reliable $N-k$ Contingency Screening with Input-Convex Neural Networks
Fast and Reliable N−kN-k Contingency Screening with Input-Convex Neural Networks
Nicolas Christianson
Wenqi Cui
Steven Low
Weiwei Yang
Baosen Zhang
29
0
0
01 Oct 2024
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment
Alyssa Kody
Samuel C. Chevalier
Spyros Chatzivasileiadis
Daniel Molzahn
66
37
0
21 Oct 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
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
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
601
0
22 Sep 2016