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1 Ergebnisse
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Electricity demand forecasting with hybrid classical statis..:
González Grandón, T.
;
Schwenzer, J.
;
Steens, T.
.
Applied Energy. 355 (2024) - p. 122249 , 2024
Link:
https://doi.org/10.1016/j.apenergy.2023.122249
RT Journal T1
Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.apenergy.2023.122249&Exemplar=1&LAN=DE A1 González Grandón, T. A1 Schwenzer, J. A1 Steens, T. A1 Breuing, J. PB Elsevier BV YR 2024 SN 0306-2619 JF Applied Energy VO 355 SP 122249 LK http://dx.doi.org/https://doi.org/10.1016/j.apenergy.2023.122249 DO https://doi.org/10.1016/j.apenergy.2023.122249 SF ELIB - SuUB Bremen
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