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Day-ahead forecasting of regional photovoltaic production u..:
, In:
2020 47th IEEE Photovoltaic Specialists Conference (PVSC)
,
Aillaud, Pierre
;
Lequeux, Jeremie
;
Mathe, Johan
... - p. 2688-2691 , 2020
Link:
https://doi.org/10.1109/PVSC45281.2020.9300538
RT T1 <cTitle>2020 47th IEEE Photovoltaic Specialists Conference (PVSC)</cTitle>: T1 <Title>Day-ahead forecasting of regional photovoltaic production using deep learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9300538&Exemplar=1&LAN=DE A1 Aillaud, Pierre A1 Lequeux, Jeremie A1 Mathe, Johan A1 Huet, Laurent A1 Lallemand, Caroline A1 Liandrat, Olivier A1 Sebastien, Nicolas A1 Kurzrock, Frederik A1 Schmutz, Nicolas YR 2020 K1 Production K1 Deep learning K1 Training K1 Random forests K1 Data models K1 Predictive models K1 Feature extraction K1 forecast K1 day-ahead K1 deep learning K1 Random Forest K1 CNN K1 LSTM K1 NWP SP 2688 OP 2691 LK http://dx.doi.org/https://doi.org/10.1109/PVSC45281.2020.9300538 DO https://doi.org/10.1109/PVSC45281.2020.9300538 SF ELIB - SuUB Bremen
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