Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings

Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings

In this research, a new machine-learning approach was proposed to evaluate the effects of eight input parameters (surface area, relative compactness, wall area, overall height, roof area, orientation, glazing area distribution, and glazing area) on two output parameters, namely, heating load (HL) an...

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Bibliographic Details
Main Authors: Ahmed Salih Mohammed, Panagiotis G. Asteris, Mohammadreza Koopialipoor, Dimitrios E. Alexakis, Minas E. Lemonis, Danial Jahed Armaghani
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sustainability
Subjects:
heating load
cooling load
residential building
machine learning
stacking ensemble tree model
Online Access:https://www.mdpi.com/2071-1050/13/15/8298

Internet

https://www.mdpi.com/2071-1050/13/15/8298

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