Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models

Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models

The Heat Loss Coefficient (HLC) characterizes the envelope efficiency of a building under in-use conditions, and it represents one of the main causes of the performance gap between the building design and its real operation. Accurate estimations of the HLC contribute to optimizing the energy consump...

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Bibliographic Details
Main Authors: Miguel Martínez-Comesaña, Lara Febrero-Garrido, Enrique Granada-Álvarez, Javier Martínez-Torres, Sandra Martínez-Mariño
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
energy efficiency
heat loss coefficient
machine learning
XGBoost
MLP
SVR
Online Access:https://www.mdpi.com/2076-3417/10/24/8968

Internet

https://www.mdpi.com/2076-3417/10/24/8968

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