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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| Format: | Artigo |
| Sprache: | Inglês |
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Institute of Fundamental Technological Research Polish Academy of Sciences
2021-06-01
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| Schriftenreihe: | Computer Assisted Methods in Engineering and Science |
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| Online-Zugang: | https://cames.ippt.pan.pl/index.php/cames/article/view/324 |
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