Research on cooling load estimation through optimal hybrid models based on Naive Bayes
Abstract Cooling load estimation is crucial for energy conservation in cooling systems, with applications like advanced air-conditioning control and chiller optimization. Traditional methods include energy simulation and regression analysis, but artificial intelligence outperforms them. Artificial i...
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| Formato: | Artigo |
| Idioma: | Inglês |
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SpringerOpen
2024-03-01
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| Series: | Journal of Engineering and Applied Science |
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| Acceso en liña: | https://doi.org/10.1186/s44147-024-00396-9 |
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