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1 Ergebnisse
1
Electricity supply chain hybrid long‐term demand forecastin..:
Moalem, Sepehr
;
Ahari, Roya M. P.
;
Shahgholian, Ghazanfar
..
The Journal of Engineering. 2023 (2023) 4 - p. , 2023
Link:
https://doi.org/10.1049/tje2.12265
RT Journal T1
Electricity supply chain hybrid long‐term demand forecasting approach based on deep learning—a case study of basic metals industry
UL https://suche.suub.uni-bremen.de/peid=cr-10.1049_tje2.12265&Exemplar=1&LAN=DE A1 Moalem, Sepehr A1 Ahari, Roya M. P. A1 Shahgholian, Ghazanfar A1 Moazzami, Majid A1 Kazemi, Seyed Mohammad PB Institution of Engineering and Technology (IET) YR 2023 SN 2051-3305 SN 2051-3305 JF The Journal of Engineering VO 2023 IS 4 LK http://dx.doi.org/https://doi.org/10.1049/tje2.12265 DO https://doi.org/10.1049/tje2.12265 SF ELIB - SuUB Bremen
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