DeepOPF-V: Solving AC-OPF Problems Efficiently

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DeepOPF-V: Solving AC-OPF Problems Efficiently

22 March 2021

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

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Title
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 OOD AI4CE 22 0 0 31 May 2025
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 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 Heng Liang Changhong Zhao 16 1 0 22 Sep 2023
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 Zuntao Hu Hongcai Zhang AI4CE 56 7 0 10 Jan 2023
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 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 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 Trager Joswig-Jones K. Baker Ahmed S. Zamzam 52 29 0 01 Nov 2021