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1 Ergebnisse
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An adapted deep convolutional RNN model for spatio-temporal..:
Scheepens, Daan R
;
Schicker, Irene
;
Hlaváčková-Schindler, Kateřina
.
doi:10.5194/egusphere-2022-599. , 2023
Link:
https://doi.org/10.5194/egusphere-2022-599
RT Journal T1
An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications
UL https://suche.suub.uni-bremen.de/peid=base-ftcopernicus:oai:publications.copernicus.org:egusphere104995&Exemplar=1&LAN=DE A1 Scheepens, Daan R A1 Schicker, Irene A1 Hlaváčková-Schindler, Kateřina A1 Plant, Claudia YR 2023 JF doi:10.5194/egusphere-2022-599 LK http://dx.doi.org/https://doi.org/10.5194/egusphere-2022-599 DO https://doi.org/10.5194/egusphere-2022-599 SF ELIB - SuUB Bremen
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