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RETRACTION article

Front. Energy Res., 12 November 2025

Sec. Sustainable Energy Systems

Volume 13 - 2025 | https://doi.org/10.3389/fenrg.2025.1740040

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

This article is a retraction of:

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

    1. Read original article
Frontiers Editorial Office Frontiers Editorial Office*

A Retraction of the Original Research Article
Research on line loss prediction of distribution network based on ensemble learning and feature selection

by Zhang K, Zhang Y, Li J, Jiang Z, Lu Y and Zhao B (2024). Front. Energy Res. 12:1453039. doi: 10.3389/fenrg.2024.1453039

The Journal retracts the 2024 article cited above.

Following publication, concerns were raised regarding the validity of the data in the article. The authors failed to provide the raw data during the investigation, which was conducted in accordance with Frontiers’ policies. Given the concerns, and the lack of raw data, the editors no longer have confidence in the findings presented in the article.

This retraction was approved by the Chief Editors of Frontiers in Energy Research and the Chief Executive Editor of Frontiers. The authors received a communication regarding the retraction and had a chance to respond. This communication has been recorded by the publisher.

Citation: Frontiers Editorial Office (2025) Retraction: Research on line loss prediction of distribution network based on ensemble learning and feature selection. Front. Energy Res. 13:1740040. doi: 10.3389/fenrg.2025.1740040

Received: 05 November 2025; Accepted: 06 November 2025;
Published: 12 November 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Frontiers Editorial Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Frontiers Editorial Office, cmVzZWFyY2guaW50ZWdyaXR5QGZyb250aWVyc2luLm9yZw==

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