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2102.06349
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Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
12 February 2021
Laurent Pagnier
Michael Chertkov
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Papers citing
"Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems"
18 / 18 papers shown
Title
Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
Muhy Eddin Za'ter
Amirhossein Sajadi
B. Hodge
39
1
0
11 Jul 2024
Robustness Analysis of AI Models in Critical Energy Systems
P. Dogoulis
Matthieu Jimenez
Salah Ghamizi
Maxime Cordy
Yves Le Traon
29
0
0
20 Jun 2024
Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity
Raffael Theiler
Olga Fink
AI4CE
26
1
0
04 Apr 2024
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence
Michael Chertkov
AI4CE
35
2
0
26 Mar 2024
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
Nan Lin
Stavros Orfanoudakis
Nathan Ordonez Cardenas
Juan S. Giraldo
Pedro P. Vergara
11
7
0
06 Nov 2023
Physics-Informed Neural Networks for Accelerating Power System State Estimation
Solon Falas
M. Asprou
Charalambos Konstantinou
Maria K. Michael
24
2
0
04 Oct 2023
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs
O. Kundacina
M. Cosovic
D. Mišković
D. Vukobratović
16
8
0
28 Apr 2023
Minimizing Worst-Case Violations of Neural Networks
Rahul Nellikkath
Spyros Chatzivasileiadis
38
3
0
21 Dec 2022
Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks
O. Kundacina
M. Cosovic
D. Mišković
D. Vukobratović
18
4
0
23 Jul 2022
Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks
O. Kundacina
M. Cosovic
D. Vukobratović
19
1
0
06 Jun 2022
Machine Learning for Electricity Market Clearing
Laurent Pagnier
Robert Ferrando
Y. Dvorkin
Michael Chertkov
24
1
0
23 May 2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems
Jochen Stiasny
Samuel C. Chevalier
Rahul Nellikkath
Brynjar Sævarsson
Spyros Chatzivasileiadis
26
14
0
14 Mar 2022
Physics-Informed Graph Learning
Ciyuan Peng
Feng Xia
Vidya Saikrishna
Huan Liu
PINN
AI4CE
31
6
0
22 Feb 2022
Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning
Alex Sabol
Kyongsik Yun
Muhammad Adil
Changrak Choi
Ramtin Madani
19
4
0
28 Jan 2022
State Estimation in Electric Power Systems Leveraging Graph Neural Networks
O. Kundacina
M. Cosovic
D. Vukobratović
18
23
0
11 Jan 2022
Towards Model Reduction for Power System Transients with Physics-Informed PDE
Laurent Pagnier
Michael Chertkov
Julian Fritzsch
P. Jacquod
33
6
0
26 Oct 2021
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems?
A. Afonin
Michael Chertkov
17
3
0
07 Apr 2021
Embedding Power Flow into Machine Learning for Parameter and State Estimation
Laurent Pagnier
Michael Chertkov
19
8
0
26 Mar 2021
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