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Evaluating and enhancing the applicability of thermal comfort indices in diverse outdoor environments using Bayesian and random forest regression

Wenqiang Jing, J. Jay Liu, Zeming Qin, Teng Mu, Zhemin Ge, Yuting Dong

2024Energy and Buildings11 citationsDOI

Topics & Concepts

Random forestBayesian probabilityEnvironmental scienceRegressionStatisticsRegression analysisThermal comfortComputer scienceEconometricsMeteorologyGeographyMathematicsMachine learningUrban Heat Island MitigationBuilding Energy and Comfort OptimizationNoise Effects and Management
Evaluating and enhancing the applicability of thermal comfort indices in diverse outdoor environments using Bayesian and random forest regression | Litcius