Cooling Load Prediction via Support Vector Regression in Individual and Hybrid Approaches

Optimizing energy efficiency and minimizing environmental impact in buildings depends critically on managing cooling requirements. The application of Support Vector Regression Model to the prediction of cooling load is explored in this study. It enhances these models with two cutting-edge optimizati...

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Bibliographic Details
Main Authors: Honglei Yao, Andrew Topper
Format: Article
Language:English
Published: Bilijipub publisher 2024-03-01
Series:Journal of Artificial Intelligence and System Modelling
Subjects:
Online Access:https://jaism.bilijipub.com/article_193318_57be23d6132acad9c046072f1d73b4d2.pdf
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