Data-Mining-based filtering to support Solar Forecasting Methodologies
This paper proposes an hybrid approach for short term solar intensity forecasting, which combines different forecasting methodologies with a clustering algorithm, which plays the role of data filter, in order to support the selection of the best data for training. A set of methodologies based on Art...
| Autor principal: | |
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| Outros Autores: | , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/18474 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/18474 |