RETRACTED: Research on line loss prediction of distribution network based on ensemble learning and feature selection

Zhang, Ke; Zhang, Yongwang; Li, Jian; Jiang, Zetao; Lu, Yuxin; Zhao, Binghui

doi:10.3389/fenrg.2024.1453039

ORIGINAL RESEARCH article

Front. Energy Res., 23 August 2024

Sec. Sustainable Energy Systems

Volume 12 - 2024 | https://doi.org/10.3389/fenrg.2024.1453039

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: Research on line loss prediction of distribution network based on ensemble learning and feature selection

Retracted

A retraction of this article was approved in:

Retraction: Research on line loss prediction of distribution network based on ensemble learning and feature selection
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Ke Zhang¹*

Yongwang Zhang¹

Jian Li¹

Zetao Jiang¹

Yuxin Lu²

Binghui Zhao¹

¹Metrology Center, Guangdong Power Grid Co., Ltd., Guangzhou, China
²Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, CSG Electric Power Research Institute, Guangzhou, China

This article has been retracted.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

Citation: Zhang K, Zhang Y, Li J, Jiang Z, Lu Y and Zhao B (2024) Research on line loss prediction of distribution network based on ensemble learning and feature selection. Front. Energy Res. 12:1453039. doi: 10.3389/fenrg.2024.1453039

Received: 22 June 2024; Accepted: 23 July 2024;
Published: 23 August 2024; Retracted: 12 November 2025.

Edited by:

Zening Li, Taiyuan University of Technology, China

Reviewed by:

Dongdong Zhang, Nanjing Institute of Technology (NJIT), China
Han Sheng, Taiyuan University of Technology, China

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