Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings

Cui, Xue; Lee, Minhyun; Koo, Choongwan; Hong, Taehoon

doi:10.1016/j.enbuild.2024.113997

Energy and Buildings

2024

DOI: 10.1016/j.enbuild.2024.113997

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Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings

Xue Cui,

Minhyun Lee,

Choongwan Koo

et al.

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Cited by 12 publications

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Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings

Cited by 12 publications

References 45 publications

Building energy efficiency assessment base on predict-center criterion under diversified conditions

Building energy efficiency assessment base on predict-center criterion under diversified conditions

Comparing hyperparameter tuning methods in machine learning based urban building energy modeling: A study in Chicago

A proposal on a co-generation system accompanied with phase change material to supply energy demand of a hospital to make it a zero energy building (ZEB)

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