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ERRATUM article

Front. Energy Res., 31 August 2023
Sec. Smart Grids

Erratum: An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm

  • Frontiers Media SA, Lausanne, Switzerland

An Erratum on
An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm

by Bai H, Jian W, Du Z, Zhou W, Li X and Li H (2023). Front. Energy Res. 11:1180555. doi: 10.3389/fenrg.2023.1180555

Due to a production error, an Author’s name was incorrectly spelled as “Wenxin Jian.” The correct spelling is “Wenxin Jiang.”

The publisher apologizes for this mistake. The original version of this article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: generative adversarial networks, few sample, Reptile algorithm, meta learning, high impedance fault, evolution strategy

Citation: Frontiers Production Office (2023) Erratum: An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm. Front. Energy Res. 11:1281611. doi: 10.3389/fenrg.2023.1281611

Received: 22 August 2023; Accepted: 22 August 2023;
Published: 31 August 2023.

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Frontiers Editorial Office, Frontiers Media SA, Switzerland

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Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.