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Toward Dynamic Stability Assessment of Power Grid Topologies using Graph
  Neural Networks

Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks

10 June 2022
Christian Nauck
M. Lindner
Konstantin Schurholt
Frank Hellmann
ArXivPDFHTML

Papers citing "Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks"

3 / 3 papers shown
Title
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal
  Forecasting
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
Xiaobei Zou
Luolin Xiong
Yang Tang
Jürgen Kurths
AI4TS
24
1
0
05 Dec 2023
Just-In-Time Learning for Operational Risk Assessment in Power Grids
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
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
166
1,095
0
27 Apr 2021
1