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Graph Neural Network-based Power Flow Model

Graph Neural Network-based Power Flow Model

North American Power Symposium (NAPS), 2023
5 July 2023
Mingjian Tuo
Xingpeng Li
Tian-Qi Zhao
ArXiv (abs)PDFHTMLGithub

Papers citing "Graph Neural Network-based Power Flow Model"

5 / 5 papers shown
Accelerating Quasi-Static Time Series Simulations with Foundation Models
Accelerating Quasi-Static Time Series Simulations with Foundation Models
Alban Puech
François Mirallès
Jonas Weiss
Vincent Mai
Alexandre Blondin Massé
M. D. Montigny
Thomas Brunschwiler
Hendrik F. Hamann
275
0
0
13 Nov 2024
Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-SplittingAnnual Meeting of the IEEE Industry Applications Society (IAS), 2024
Thuan Phamh
Xingpeng Li
416
1
0
09 Nov 2024
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
Thuan Pham
Xingpeng Li
287
1
0
22 Oct 2024
N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural
  Network
N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
Thuan Pham
Xingpeng Li
224
5
0
09 Feb 2024
Analysis of Weather and Time Features in Machine Learning-aided ERCOT
  Load Forecasting
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Jonathan Yang
Mingjian Tuo
Jin Lu
Xingpeng Li
189
6
0
13 Oct 2023
1
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