Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries
- Tianren Zhao1
- Yanhui Zhang1*corresponding author
- Minghao Wang2
- Wei Feng1
- Shengxian Cao3
- Gong Wang3
- 11 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- 22 University of Macau, Taipa, Macao SAR, China
- 33 Northeast Electric Power University, Jilin, China
Abstract
Keywords
The Title of this article was erroneously given as: “A hybrid LSTM-transformer model for accurate”. The correct title of the article is “A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries”.
The original 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.
Citation
Zhao, T., et al. (2025). Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries. Frontiers in Electronics, Volume 6. https://doi.org/
- Received
- Accepted
- Published
- Volume
- 6 - 2025
Copyright
Copyright © 2025 Zhao, Zhang, Wang, Feng, Cao and Wang.
License: http://creativecommons.org/licenses/by/4.0/
*Correspondence: Yanhui Zhang
Article metrics
- Views
- 0
- Downloads
- 0
- Citations
- 0
- Shares
- 0
