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DeepOPF-V: Solving AC-OPF Problems Efficiently
v1v2 (latest)

DeepOPF-V: Solving AC-OPF Problems Efficiently

22 March 2021
Wanjun Huang
Xiang Pan
Minghua Chen
S. Low
ArXiv (abs)PDFHTML

Papers citing "DeepOPF-V: Solving AC-OPF Problems Efficiently"

10 / 10 papers shown
Title
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
22
0
0
31 May 2025
HoP: Homeomorphic Polar Learning for Hard Constrained Optimization
HoP: Homeomorphic Polar Learning for Hard Constrained Optimization
Ke Deng
Hanwen Zhang
Jin Lu
Haijian Sun
101
0
0
01 Feb 2025
Dual Conic Proxies for AC Optimal Power Flow
Dual Conic Proxies for AC Optimal Power Flow
Guancheng Qiu
Mathieu Tanneau
Pascal Van Hentenryck
100
10
0
04 Oct 2023
DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow
  in Multiple Networks
DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks
Heng Liang
Changhong Zhao
18
1
0
22 Sep 2023
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging
  Scheduling in Large-scale Networked Facilities
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities
Bushra Alshehhi
A. Karapetyan
Khaled M. Elbassioni
Sid Chi-Kin Chau
Majid Khonji
61
2
0
18 May 2023
Optimal Power Flow Based on Physical-Model-Integrated Neural Network
  with Worth-Learning Data Generation
Optimal Power Flow Based on Physical-Model-Integrated Neural Network with Worth-Learning Data Generation
Zuntao Hu
Hongcai Zhang
AI4CE
56
7
0
10 Jan 2023
Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian
  Duality
Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality
Ke Chen
Shourya Bose
Yu Zhang
52
7
0
07 Dec 2022
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple
  Load-Solution Mappings
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple Load-Solution Mappings
Xiang Pan
Wanjun Huang
Ming Chen
S. Low
AI4CE
47
4
0
07 Jun 2022
Ensuring DNN Solution Feasibility for Optimization Problems with Convex
  Constraints and Its Application to DC Optimal Power Flow Problems
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Tianyu Zhao
Xiang Pan
Minghua Chen
S. Low
84
10
0
15 Dec 2021
OPF-Learn: An Open-Source Framework for Creating Representative AC
  Optimal Power Flow Datasets
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets
Trager Joswig-Jones
K. Baker
Ahmed S. Zamzam
52
29
0
01 Nov 2021
1