A Statistical Comparison of Feature Selection Techniques for Solar Energy Forecasting Based on Geographical Data
In recent years, solar energy forecasting has been increasingly embraced as a sustainable low-energy solution to environmental awareness. It is a subject of interest to the scientific community, and machine learning techniques have proven to be a powerful means to construct an automatic learning mo...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2021-06-01
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| Series: | Computer Assisted Methods in Engineering and Science |
| Assuntos: | |
| Acceso en liña: | https://cames.ippt.pan.pl/index.php/cames/article/view/324 |
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