Correction: Chu et al. Temporal Attention Mechanism Based Indirect Battery Capacity Prediction Combined with Health Feature Extraction. Electronics 2023, 12, 4951

There was an error in the original publication [1]. We found an error in the description in the last paragraph of the introduction and would like to correct it.

A correction has been made to 1. Introduction, last paragraph:

Section 3 provides an exhaustive description of the dataset collection process and the feature extraction methodology. Section 4 presents a comprehensive introduction to the proposed indirect battery capacity prediction framework, rooted in the temporal attention mechanism, and focuses on the model training procedures, detailing the experimental setups across four distinct datasets. Section 5 details the evaluation metrics employed and the subsequent results obtained, and it engages in a discussion on the characteristics of model error distribution across varying battery types, extending the analysis to draw comparative insights with other existing model structures. Concluding the paper, Section 6 encapsulates this research’s pivotal findings and contributions, offering a summary that underlines its significance and implications.

The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.