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1 Ergebnisse
1
Deep Learning Approaches for Power Prediction in Wind–Solar..:
Rushdi, Mostafa A.
;
Yoshida, Shigeo
;
Watanabe, Koichi
..
Energies. 17 (2024) 15 - p. 3630 , 2024
Link:
https://doi.org/10.3390/en17153630
RT Journal T1
Deep Learning Approaches for Power Prediction in Wind–Solar Tower Systems
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_en17153630&Exemplar=1&LAN=DE A1 Rushdi, Mostafa A. A1 Yoshida, Shigeo A1 Watanabe, Koichi A1 Ohya, Yuji A1 Ismaiel, Amr PB MDPI AG YR 2024 SN 1996-1073 JF Energies VO 17 IS 15 SP 3630 LK http://dx.doi.org/https://doi.org/10.3390/en17153630 DO https://doi.org/10.3390/en17153630 SF ELIB - SuUB Bremen
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