Enhancing the prediction of heating and cooling loads in residential buildings using explainable XGBoost: a comparative analysis of SHAP and LIME techniques.

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Bibliographic Details
Title: Enhancing the prediction of heating and cooling loads in residential buildings using explainable XGBoost: a comparative analysis of SHAP and LIME techniques.
Authors: Alizamir, Meysam1,2, meysamalizamir@duytan.edu.vn, Kim, Sungwon3, Heddam, Salim4, Gholampour, Aliakbar5, Moon, Hyounseok6, hsmoon@kict.re.kr
Source: Artificial Intelligence Review; Apr2026, Vol. 59 Issue 4, p1-61, 61p
Database: Applied Science & Technology Source
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ISSN:02692821
DOI:10.1007/s10462-026-11521-w