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...
| Autores: | , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Recursos: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/702746 |
| Acesso em linha: | http://hdl.handle.net/10486/702746 https://dx.doi.org/10.1007/s11063-018-09969-1 |
| Access Level: | acceso abierto |
| Palavra-chave: | Clear sky models Lasso Nowcasting Photovoltaic energy Support vector regression EUMETSAT Informática |
| Resumo: | 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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