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1 Ergebnisse
1
Hybrid Metaheuristics with Sparse-Trained Deep Learning for..:
, In:
2023 6th International Conference on Engineering Technology and its Applications (IICETA)
,
Alkhafaij, Mahdi Abdulkhudur
;
Al-luhiby, Hussein A.
;
Al-Hameed, Mazin Riyadh
... - p. 473-479 , 2023
Link:
https://doi.org/10.1109/IICETA57613.2023.10351350
RT T1 <cTitle>2023 6th International Conference on Engineering Technology and its Applications (IICETA)</cTitle>: T1 <Title>Hybrid Metaheuristics with Sparse-Trained Deep Learning for Sustainable Electric Vehicle Charging Demand Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10351350&Exemplar=1&LAN=DE A1 Alkhafaij, Mahdi Abdulkhudur A1 Al-luhiby, Hussein A. A1 Al-Hameed, Mazin Riyadh A1 Saleem, Munqith A1 Habelalmateen, Mohammed I. A1 Mohammed, E. Ali YR 2023 SN 2831-753X K1 Deep learning K1 Recurrent neural networks K1 Metaheuristics K1 Time series analysis K1 Demand forecasting K1 Predictive models K1 Prediction algorithms K1 Electric vehicles K1 Charging demand forecasting K1 Sustainability K1 Hybrid metaheuristics SP 473 OP 479 LK http://dx.doi.org/https://doi.org/10.1109/IICETA57613.2023.10351350 DO https://doi.org/10.1109/IICETA57613.2023.10351350 SF ELIB - SuUB Bremen
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