Application of Machine Learning Techniques for Predicting Heating Coil Performance in Building Heating Ventilation and Air Conditioning Systems

Application of Machine Learning Techniques for Predicting Heating Coil Performance in Building Heating Ventilation and Air Conditioning Systems

Heating systems in a building’s mechanical infrastructure account for a significant share of global building energy consumption, underscoring the need for improved efficiency. This study evaluates 31 predictive models—including neural networks, gradient boosting (XGBoost), bagging, and multiple line...

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Bibliographic Details
Main Authors: Adam Nassif, Pasidu Dharmasena, Nabil Nassif
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
HVAC systems
machine learning
neural network
gradient boosting
bagging
XGBoost
Online Access:https://www.mdpi.com/1996-1073/18/9/2314
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