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1 Ergebnisse
1
Analysis of the Natural Inflow Short-term Forecasting Model..:
, In:
2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM)
,
Mitrofanov, Sergey V.
;
Matrenin, Pavel V.
;
Sekretarev, Uriy A.
- p. 1130-1134 , 2023
Link:
https://doi.org/10.1109/EDM58354.2023.10225023
RT T1 <cTitle>2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM)</cTitle>: T1 <Title>Analysis of the Natural Inflow Short-term Forecasting Models Efficiency to the HPP Site for the Day-ahead Based on Regression Methods and Machine Learning Methods</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10225023&Exemplar=1&LAN=DE A1 Mitrofanov, Sergey V. A1 Matrenin, Pavel V. A1 Sekretarev, Uriy A. YR 2023 SN 2325-419X K1 Meteorological factors K1 Stacking K1 Machine learning K1 Predictive models K1 Mathematical models K1 Data models K1 Arrays K1 Hydropower K1 Short-forecasting K1 regression models K1 ensemble methods SP 1130 OP 1134 LK http://dx.doi.org/https://doi.org/10.1109/EDM58354.2023.10225023 DO https://doi.org/10.1109/EDM58354.2023.10225023 SF ELIB - SuUB Bremen
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