A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting.
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| Title: | A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting. |
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| Authors: | Liu, Zhi-Feng1 (AUTHOR) liuzhifeng@tust.edu.cn, Huang, Ya-He1 (AUTHOR) huangyahe@mail.tust.edu.cn, Zhang, Shu-Rui1 (AUTHOR) zsr030923@mail.tust.edu.cn, Luo, Xing-Fu1 (AUTHOR) fu406699@mail.tust.edu.cn, Chen, Xiao-Rui1 (AUTHOR) 21021127@mail.tust.edu.cn, Lin, Jun-Jie1 (AUTHOR), Tang, Yu2,3 (AUTHOR), Guo, Liang4 (AUTHOR) guoliang@sgepri.sgcc.com.cn, Li, Ji-Xiang1 (AUTHOR) lijixiangtust@126.com |
| Source: | Applied Energy. Jan2025:Part D, Vol. 377, pN.PAG-N.PAG. 1p. |
| Database: | Environment Complete |
| ISSN: | 03062619 |
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| DOI: | 10.1016/j.apenergy.2024.124741 |
