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...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
SpringerOpen
2024-03-01
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| سلاسل: | Journal of Engineering and Applied Science |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1186/s44147-024-00396-9 |
| الوسوم: |
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