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1 Ergebnisse
1
Forecasting State-of-Health of Battery Based on Combined EM..:
, In:
2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM)
,
Le Thi Minh, Lien
;
Vu Quoc, Anh
;
Nguyen Duc, Tuyen
. - p. 01-05 , 2023
Link:
https://doi.org/10.1109/EEE-AM58328.2023.10394993
RT T1 <cTitle>2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM)</cTitle>: T1 <Title>Forecasting State-of-Health of Battery Based on Combined EMD-CNN-BiLSTM-SM Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10394993&Exemplar=1&LAN=DE A1 Le Thi Minh, Lien A1 Vu Quoc, Anh A1 Nguyen Duc, Tuyen A1 Fujita, Goro YR 2023 K1 Lithium-ion batteries K1 Systems operation K1 Predictive models K1 Data models K1 Safety K1 Convolutional neural networks K1 Root mean square K1 State of Health K1 Empirical Mode K1 Convolutional Neural Network K1 Bidirectional Long Short-term Memory K1 Self-attention Mechanism SP 01 OP 05 LK http://dx.doi.org/https://doi.org/10.1109/EEE-AM58328.2023.10394993 DO https://doi.org/10.1109/EEE-AM58328.2023.10394993 SF ELIB - SuUB Bremen
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