Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach

Author:

Cakiroglu CelalORCID,Aydın Yaren,Bekdaş Gebrail,Isikdag UmitORCID,Sadeghifam Aidin Nobahar,Abualigah Laith

Publisher

Elsevier BV

Reference45 articles.

1. A comprehensive comparative analysis of machine learning models for predicting heating and cooling loads;Abdelkader;Decision Sci. Lett.,2020

2. M.A. Aktacır, O. Büyükalaca, T. Yılmaz, Methods used in Cooling Load Calculation, in: 14th National Thermal Science and Technology Congress, Isparta, 2003, pp. 64-69.

3. Explainable machine learning model for predicting drift capacity of reinforced concrete walls;Aladsani;ACI Struct. J.,2022

4. Influence of glazing types on the indoor thermal performance of tropical high-rise residential buildings;Al-Tamimi;Key Eng. Mater.,2016

5. Prediction of cooling load of tropical buildings with machine learning;Bekdaş;Sustainability,2023

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