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Deep convolutional neural networks for short-term multi-ene..:
Arsene, Corneliu
;
Parisio, Alessandra
International Journal of Electrical Power & Energy Systems. 160 (2024) - p. 110111 , 2024
Link:
https://doi.org/10.1016/j.ijepes.2024.110111
RT Journal T1 <Title>Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijepes.2024.110111&Exemplar=1&LAN=DE A1 Arsene, Corneliu A1 Parisio, Alessandra PB Elsevier BV YR 2024 SN 0142-0615 JF International Journal of Electrical Power & Energy Systems VO 160 SP 110111 LK http://dx.doi.org/https://doi.org/10.1016/j.ijepes.2024.110111 DO https://doi.org/10.1016/j.ijepes.2024.110111 SF ELIB - SuUB Bremen
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