Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques

Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques

The heating load calculation is the first step of the iterative heating, ventilation, and air conditioning (HVAC) design procedure. In this study, we employed six machine learning techniques, namely multi-layer perceptron regressor (MLPr), lazy locally weighted learning (LLWL), alternating model tre...

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Bibliographic Details
Main Authors: Hossein Moayedi, Dieu Tien Bui, Anastasios Dounis, Zongjie Lyu, Loke Kok Foong
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
energy-efficient buildings
smart buildings
machine learning
random forest
optimization
Online Access:https://www.mdpi.com/2076-3417/9/20/4338

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