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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.
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
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DbLabel: Environment Complete
An: 180928434
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: 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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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Zhi-Feng%22">Liu, Zhi-Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liuzhifeng@tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Ya-He%22">Huang, Ya-He</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> huangyahe@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Shu-Rui%22">Zhang, Shu-Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zsr030923@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Luo%2C+Xing-Fu%22">Luo, Xing-Fu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fu406699@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Xiao-Rui%22">Chen, Xiao-Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 21021127@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Jun-Jie%22">Lin, Jun-Jie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Yu%22">Tang, Yu</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Liang%22">Guo, Liang</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> guoliang@sgepri.sgcc.com.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Ji-Xiang%22">Li, Ji-Xiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lijixiangtust@126.com</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=180928434
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.apenergy.2024.124741
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      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: 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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            NameFull: Huang, Ya-He
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            – D: 10
              M: 01
              Text: Jan2025:Part D
              Type: published
              Y: 2025
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              Value: 03062619
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              Value: 377
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            – TitleFull: Applied Energy
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