CORRECTION article

Front. Energy Res., 23 December 2024

Sec. Solar Energy

Volume 12 - 2024 | https://doi.org/10.3389/fenrg.2024.1548438

Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network

With this notice, Frontiers states its awareness of concerns regarding the content of the article “Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network” published on 1 August 2024. Our Research Integrity team will conduct an investigation in full accordance with our procedures. The situation will be updated as soon as the investigation is complete.

Summary

Citation

Frontiers Editorial Office (2024) Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network. Front. Energy Res. 12:1548438. doi: 10.3389/fenrg.2024.1548438

Received

19 December 2024

Accepted

19 December 2024

Published

23 December 2024

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

12 - 2024

Updates

Copyright

*Correspondence: Frontiers Editorial Office,

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.

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics