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A Review of Graph Neural Networks and Their Applications in Power
  Systems

A Review of Graph Neural Networks and Their Applications in Power Systems

25 January 2021
Wenlong Liao
B. Bak‐Jensen
J. Pillai
Yuelong Wang
Yusen Wang
    GNN
    AI4CE
ArXivPDFHTML

Papers citing "A Review of Graph Neural Networks and Their Applications in Power Systems"

38 / 38 papers shown
Title
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
Zhen Zhao
Wenqi Huang
Zicheng Wang
Jiaxuan Hou
Peng Li
Lei Bai
12
0
0
18 May 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
60
2
0
08 Jan 2025
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
36
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-Splitting
Thuan Phamh
Xingpeng Li
32
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
36
1
0
22 Oct 2024
xAI-Drop: Don't Use What You Cannot Explain
xAI-Drop: Don't Use What You Cannot Explain
Vincenzo Marco De Luca
Antonio Longa
Andrea Passerini
Pietro Lio
53
0
0
29 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified
  Defenses
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
Yuxin Yang
Qiang Li
Jinyuan Jia
Yuan Hong
Binghui Wang
AAML
FedML
65
11
0
12 Jul 2024
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over
  Graphs
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
Zhicheng Liang
Yifan Yang
Xiangyu Ke
Xiaokui Xiao
Yunjun Gao
38
0
0
20 Jun 2024
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power
  Grids using Machine Learning
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
Christian Nauck
Anna Buttner
Sebastian Liemann
Frank Hellmann
M. Lindner
AI4CE
41
0
0
13 Jun 2024
A Dual Power Grid Cascading Failure Model for the Vulnerability Analysis
A Dual Power Grid Cascading Failure Model for the Vulnerability Analysis
Tianxin Zhou
Xiang Li
Haibing Lu
23
0
0
18 May 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
34
1
0
04 Apr 2024
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase
  Distribution Systems
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems
Salah Ghamizi
Jun Cao
Aoxiang Ma
Pedro Rodriguez
AI4CE
34
2
0
01 Mar 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
16
3
0
09 Feb 2024
PowerGraph: A power grid benchmark dataset for graph neural networks
PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella
Kenza Amara
B. Gjorgiev
Mennatallah El-Assady
G. Sansavini
23
8
0
05 Feb 2024
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot
  Adaption via Contextual Meta Graph Reinforcement Learning
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning
Bairong Deng
Tao Yu
Zhenning Pan
Xuehan Zhang
Yufeng Wu
Qiaoyi Ding
OffRL
16
3
0
19 Jan 2024
Solve Large-scale Unit Commitment Problems by Physics-informed Graph
  Learning
Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning
Jingtao Qin
Nanpeng Yu
11
2
0
26 Nov 2023
Power grid operational risk assessment using graph neural network
  surrogates
Power grid operational risk assessment using graph neural network surrogates
Yadong Zhang
Pranav M. Karve
Sankaran Mahadevan
11
3
0
21 Nov 2023
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
24
8
0
06 Nov 2023
Hierarchical Reinforcement Learning for Power Network Topology Control
Hierarchical Reinforcement Learning for Power Network Topology Control
Blazej Manczak
Jan Viebahn
H. V. Hoof
34
7
0
03 Nov 2023
Linearization of ReLU Activation Function for Neural Network-Embedded
  Optimization:Optimal Day-Ahead Energy Scheduling
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization:Optimal Day-Ahead Energy Scheduling
Cunzhi Zhao
Xingpeng Li
14
1
0
03 Oct 2023
Spectral Convergence of Complexon Shift Operators
Spectral Convergence of Complexon Shift Operators
Purui Zhang
Xingchao Jian
Feng Ji
Wee Peng Tay
Bihan Wen
16
1
0
12 Sep 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
44
143
0
07 Jul 2023
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit
  Commitment
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
A. Ramesh
Xingpeng Li
25
21
0
02 Jun 2023
Graph Neural Networks for Text Classification: A Survey
Graph Neural Networks for Text Classification: A Survey
Kunze Wang
Yihao Ding
S. Han
FaML
GNN
31
25
0
23 Apr 2023
Deep Statistical Solver for Distribution System State Estimation
Deep Statistical Solver for Distribution System State Estimation
Benjamin Habib
Elvin Isufi
Ward van Breda
A. Jongepier
J. Cremer
26
18
0
04 Jan 2023
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Ángela López-Cardona
Guillermo Bernárdez
Pere Barlet-Ros
A. Cabellos-Aparicio
39
4
0
23 Dec 2022
Forecasting Unobserved Node States with spatio-temporal Graph Neural
  Networks
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks
Andreas Roth
Thomas Liebig
AI4TS
AI4CE
29
10
0
21 Nov 2022
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for
  Microservices using LSTM-GNN
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN
H. X. Nguyen
Shaoshu Zhu
Mingming Liu
14
7
0
06 Sep 2022
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and
  its Applications to Electric Power Systems AI
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
Tong Wu
Anna Scaglione
D. Arnold
GNN
31
11
0
17 Aug 2022
Reduced Optimal Power Flow Using Graph Neural Network
Reduced Optimal Power Flow Using Graph Neural Network
Thuan Pham
Xingpeng Li
14
22
0
27 Jun 2022
Solving AC Power Flow with Graph Neural Networks under Realistic
  Constraints
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
Luis Bottcher
Hinrikus Wolf
Bastian Jung
Philipp Lutat
M. Trageser
Oliver Pohl
Andreas Ulbig
Martin Grohe
23
10
0
14 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
26
29
0
06 Apr 2022
Fast Transient Stability Prediction Using Grid-informed Temporal and
  Topological Embedding Deep Neural Network
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
Peiyuan Sun
L. Huo
Siyuan Liang
Xin Chen
35
7
0
23 Jan 2022
Graph Attention Network For Microwave Imaging of Brain Anomaly
Ahmed Al-Saffar
L. Guo
A. Abbosh
19
1
0
04 Aug 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
21
8
0
26 Mar 2021
Physics-Informed Graphical Neural Network for Parameter & State
  Estimations in Power Systems
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier
Michael Chertkov
42
49
0
12 Feb 2021
Learning Multi-Agent Coordination through Connectivity-driven
  Communication
Learning Multi-Agent Coordination through Connectivity-driven Communication
E. Pesce
Giovanni Montana
24
15
0
12 Feb 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
206
885
0
07 Jun 2018
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