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Digital twin-supported battery state estimation based on TCN-LSTM neural networks and transfer learning

Zhao, Kai, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714, Ming, Wenlong ORCID: https://orcid.org/0000-0003-1780-7292 and Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 2024. Digital twin-supported battery state estimation based on TCN-LSTM neural networks and transfer learning. CSEE Journal of Power and Energy Systems
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[thumbnail of Liu Y - DT-Supported Battery State Estimation TCN-LSTM and TL.pdf] PDF - Accepted Post-Print Version
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Item Type: Article
Status: In Press
Schools: Engineering
Publisher: Chinese Society for Electrical Engineering
ISSN: 2096-0042
Date of First Compliant Deposit: 3 June 2024
Date of Acceptance: 3 June 2024
Last Modified: 20 Jun 2024 15:24
URI: https://orca.cardiff.ac.uk/id/eprint/169446

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