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Convolutional Neural Network for High-Resolution Cloud Motion Prediction from Hemispheric Sky Images

A novel high-resolution method for forecasting cloud motion from all-sky images using deep learning is presented. A convolutional neural network (CNN) was created and trained with more than two years of all-sky images, recorded by a hemispheric sky imager (HSI) at the Institute of Meteorology and Cl...

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Detalhes bibliográficos
Principais autores: Cristian Crisosto, Eduardo W. Luiz, Gunther Seckmeyer
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2021-02-01
Colecção:Energies
Assuntos:
Acesso em linha:https://www.mdpi.com/1996-1073/14/3/753
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