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Physics-Informed Graphical Neural Network for Parameter & State
  Estimations in Power Systems

Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems

12 February 2021
Laurent Pagnier
Michael Chertkov
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
Embedding Power Flow into Machine Learning for Parameter and State Estimation
Laurent Pagnier
Michael Chertkov
19
8
0
26 Mar 2021
1