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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.17660
  4. Cited By
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1
  Perturbations

CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations

26 March 2024
Luis Piloto
Sofia Liguori
Sephora Madjiheurem
M. Zgubič
Sean Lovett
Hamish Tomlinson
Sophie Elster
Chris Apps
Sims Witherspoon
ArXiv (abs)PDFHTML

Papers citing "CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations"

10 / 10 papers shown
Title
Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
Muhy Eddin Za'ter
B. Hodge
Kyri Baker
AI4CE
64
1
0
17 Oct 2025
From Acceleration to Saturation: Scaling Behavior of Bootstrapped Language Model Pretraining
From Acceleration to Saturation: Scaling Behavior of Bootstrapped Language Model Pretraining
Seng Pei Liew
Takuya Kato
92
0
0
08 Oct 2025
Revisiting Deep AC-OPF
Revisiting Deep AC-OPF
Oluwatomisin I. Dada
Neil D. Lawrence
AI4CE
72
0
0
31 Aug 2025
Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization
Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization
Dekang Meng
Rabab Haider
Pascal van Hentenryck
93
1
0
03 Aug 2025
Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
Hongjie Zhu
Zezheng Zhang
Zeyu Zhang
Yu Bai
Shimin Wen
Huazhang Wang
Daji Ergu
Ying Cai
Yang Zhao
OODAI4CE
90
0
0
31 May 2025
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
Andrew Rosemberg
Michael Klamkin
Pascal Van Hentenryck
AI4CE
145
2
0
22 Mar 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
157
0
0
13 Nov 2024
Physics-Informed GNN for non-linear constrained optimization: PINCO a
  solver for the AC-optimal power flow
Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow
Anna Varbella
Damien Briens
B. Gjorgiev
Giuseppe Alessio DÍnverno
G. Sansavini
99
2
0
07 Oct 2024
Generative Edge Detection with Stable Diffusion
Generative Edge Detection with Stable Diffusion
Caixia Zhou
Yaping Huang
Mochu Xiang
Jiahui Ren
Haibin Ling
Jing Zhang
174
1
0
04 Oct 2024
OPFData: Large-scale datasets for AC optimal power flow with topological
  perturbations
OPFData: Large-scale datasets for AC optimal power flow with topological perturbations
Sean Lovett
M. Zgubič
Sofia Liguori
Sephora Madjiheurem
Hamish Tomlinson
Sophie Elster
Chris Apps
Sims Witherspoon
Luis Piloto
AI4CE
182
15
0
11 Jun 2024
1