Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems

Published:2021-01 Issue:1 Volume:12 Page:361-371
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Zhang Ying^ORCID,Wang Xinan^ORCID,Wang Jianhui^ORCID,Zhang Yingchen^ORCID

Funder

U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/9299421/09143169.pdf?arnumber=9143169

Cited by 153 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visibility-enhanced model-free deep reinforcement learning algorithm for voltage control in realistic distribution systems using smart inverters;Applied Energy;2024-10

2. Distribution network voltage control considering virtual power plants cooperative optimization with transactive energy;Applied Energy;2024-10

3. Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization;Thermal Science and Engineering Progress;2024-10

4. Multiagent Soft Actor–Critic Learning for Distributed ESS Enabled Robust Voltage Regulation of Active Distribution Grids;IEEE Transactions on Industrial Informatics;2024-09

5. Advancements in data-driven voltage control in active distribution networks: A Comprehensive review;Results in Engineering;2024-09

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