ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.03415
  4. Cited By
PowerFlowNet: Power Flow Approximation Using Message Passing Graph
  Neural Networks
v1v2v3 (latest)

PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks

6 November 2023
Nan Lin
Stavros Orfanoudakis
Nathan Ordonez Cardenas
Juan S. Giraldo
Pedro P. Vergara
ArXiv (abs)PDFHTMLGithub (71★)

Papers citing "PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks"

6 / 6 papers shown
Test Time Training for AC Power Flow Surrogates via Physics and Operational Constraint Refinement
Test Time Training for AC Power Flow Surrogates via Physics and Operational Constraint Refinement
P. Dogoulis
Mohammad Iman Alizadeh
Sylvain Kubler
Maxime Cordy
36
0
0
27 Nov 2025
PF$Δ$: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
PFΔΔΔ: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana K. Rivera
Anvita Bhagavathula
Alvaro Carbonero
Priya Donti
168
0
0
24 Oct 2025
Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
Ehimare Okoyomon
Arbel Yaniv
Christoph Goebel
AI4CE
138
2
0
29 Sep 2025
Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator
Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator
Changhun Kim
Timon Conrad
R. Karim
Julian Oelhaf
David Riebesel
T. Arias-Vergara
Andreas Maier
Johann Jager
Siming Bayer
162
1
0
26 Sep 2025
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
Milad Leyli-abadi
Antoine Marot
Jérôme Picault
AI4CE
125
0
0
23 Sep 2025
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
Mengwei He
358
1
0
18 May 2025
1
Page 1 of 1