Nearly Zero-Energy Building Load Forecasts through the Competition of Four Machine Learning Techniques

Nearly Zero-Energy Building Load Forecasts through the Competition of Four Machine Learning Techniques

Heating, ventilation and air conditioning (HVAC) systems account for approximately 50% of the total energy consumption in buildings. Advanced control and optimal operation, seen as key technologies in reducing the energy consumption of HVAC systems, indispensably rely on an accurate prediction of th...

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Bibliographic Details
Main Authors: Haosen Qin, Zhen Yu, Zhengwei Li, Huai Li, Yunyun Zhang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Buildings
Subjects:
load prediction
nearly zero-energy building
competitive learning
machine learning
feature selection
Online Access:https://www.mdpi.com/2075-5309/14/1/147

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https://www.mdpi.com/2075-5309/14/1/147

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