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Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker
  Placement

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement

16 May 2024
Hongwei Jin
Prasanna Balaprakash
Allen Zou
Pieter Ghysels
Aditi S. Krishnapriyan
Adam Mate
Arthur Barnes
Russell Bent
    AI4CE
ArXivPDFHTML

Papers citing "Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement"

3 / 3 papers shown
Title
Scaling physics-informed hard constraints with mixture-of-experts
Scaling physics-informed hard constraints with mixture-of-experts
N. Chalapathi
Yiheng Du
Aditi Krishnapriyan
AI4CE
37
12
0
20 Feb 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
64
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
1