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Deep Reinforcement Learning for Online Reconfiguration of Active Distribution Network

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Year: 2025
Type: article
Source: IEEE Transactions on Neural Networks and Learning Systems
DOI: 10.1109/tnnls.2025.3617113
Authors: Guokai Hao, Yuanzheng Li, Yang Li, Yunfeng Luo, Mohammad Shahidehpour, Zhigang Zeng
Institutions: Huazhong University of Science and Technology, Northeast Electric Power University, Illinois Institute of Technology
Language: English

Topic: Optimal Power Flow Distribution
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China
Awards: G148096710, G6340177522
OpenAlex ID: W4415482701
FWCI: 0.228
Cites: 30
Cited by: 1
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