Research on cooling load estimation through optimal hybrid models based on Naive Bayes

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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Bibliographic Details
Main Author: Ying Xu
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Journal of Engineering and Applied Science
Subjects:
Cooling load estimation
Prediction models
Building energy consumption
Naive Bayes
Metaheuristic optimization algorithms
Online Access:https://doi.org/10.1186/s44147-024-00396-9

Internet

https://doi.org/10.1186/s44147-024-00396-9

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