Machine Learning Nowcasting of PV Energy Using Satellite Data

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at...

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Detalles Bibliográficos
Autores: Catalina Feliu, Alejandro, Torres Barrán, Alberto, Alaiz Gudín, Carlos María, Dorronsoro Ibero, José Ramón
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/702746
Acceso en línea:http://hdl.handle.net/10486/702746
https://dx.doi.org/10.1007/s11063-018-09969-1
Access Level:acceso abierto
Palabra clave:Clear sky models
Lasso
Nowcasting
Photovoltaic energy
Support vector regression
EUMETSAT
Informática
Descripción
Sumario:This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11063-018-09969-1

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