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1 Ergebnisse
1
Deep Learning Approach for Predicting Output Current Ripple..:
, In:
2024 International Conference on Inventive Computation Technologies (ICICT)
,
Madumathi, K
;
Saravanan, T.S.
;
Khandan, K. Lakshmi
... - p. 7-11 , 2024
Link:
https://doi.org/10.1109/ICICT60155.2024.10544866
RT T1 <cTitle>2024 International Conference on Inventive Computation Technologies (ICICT)</cTitle>: T1 <Title>Deep Learning Approach for Predicting Output Current Ripple in Electric Vehicle Chargers</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544866&Exemplar=1&LAN=DE A1 Madumathi, K A1 Saravanan, T.S. A1 Khandan, K. Lakshmi A1 Raja, R. A1 Kannan, Sathish A1 M, Rajendiran YR 2024 SN 2767-7788 K1 Temperature measurement K1 Deep learning K1 Predictive models K1 Electric vehicles K1 Batteries K1 Convolutional neural networks K1 Power conversion K1 Electric Vehicle K1 Ripple Current K1 Error K1 R2 Score K1 Convolutional Neural Network K1 Bidirectional Long-Short Term Memory SP 7 OP 11 LK http://dx.doi.org/https://doi.org/10.1109/ICICT60155.2024.10544866 DO https://doi.org/10.1109/ICICT60155.2024.10544866 SF ELIB - SuUB Bremen
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