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1 Ergebnisse
1
Enhancing Battery Voltage Prediction with Deep Learning: A ..:
, In:
2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
,
Niakan, Masoumeh Rostam
;
Hajihosseini, Mojtaba
;
Madani, Seyed Saeed
. - p. 491-495 , 2023
Link:
https://doi.org/10.1109/AUTEEE60196.2023.10408405
RT T1 <cTitle>2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)</cTitle>: T1 <Title>Enhancing Battery Voltage Prediction with Deep Learning: A Comparative Analysis of LSTM and Traditional Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10408405&Exemplar=1&LAN=DE A1 Niakan, Masoumeh Rostam A1 Hajihosseini, Mojtaba A1 Madani, Seyed Saeed A1 Ziebert, Carlos YR 2023 SN 2831-4549 K1 Neural networks K1 Time series analysis K1 Voltage K1 Predictive models K1 Batteries K1 Forecasting K1 Long short term memory K1 Battery voltage prediction K1 Deep learning K1 Long Short-Term Memory neural networks SP 491 OP 495 LK http://dx.doi.org/https://doi.org/10.1109/AUTEEE60196.2023.10408405 DO https://doi.org/10.1109/AUTEEE60196.2023.10408405 SF ELIB - SuUB Bremen
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