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ORIGINAL RESEARCH article

Front. Energy Res., 13 March 2024

Sec. Sustainable Energy Systems

Volume 12 - 2024 | https://doi.org/10.3389/fenrg.2024.1377465

This article is part of the Research TopicUrban Energy System Planning, Operation, and Control with High Efficiency and Low Carbon GoalsView all 29 articles

RETRACTED: Generating adversarial deep reinforcement learning -based frequency control of Island City microgrid considering generalization of scenarios

Retracted

A retraction of this article was approved in:

  1. Retraction: Generating adversarial deep reinforcement learning -based frequency control of Island City microgrid considering generalization of scenarios

    1. Read retraction
Houtianfu Wang Houtianfu Wang1*Zhecong ZhangZhecong Zhang2Qixin WangQixin Wang1
  • 1University of California, San Diego, San Diego, CA, United States
  • 2University of California, Los Angeles, Los Angeles, CA, United States

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: Wang H, Zhang Z and Wang Q (2024) Generating adversarial deep reinforcement learning -based frequency control of Island City microgrid considering generalization of scenarios. Front. Energy Res. 12:1377465. doi: 10.3389/fenrg.2024.1377465

Received: 27 January 2024; Accepted: 07 February 2024;
Published: 13 March 2024; Retracted: 12 November 2025.

Edited by:

Yunqi Wang, Monash University, Australia

Reviewed by:

Linfei Yin, Guangxi University, China
Cheng Yang, Shanghai University of Electric Power, China
Puliang Du, Southeast University, China

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