Machine learning approach for predicting personal thermal comfort in air conditioning offices in Malaysia

The existing machine learning based models for personal thermal comfort have traditionally focused on physiological and psychological variations among occupants, and the spatial parameters have been largely overlooked. Field measurements are conducted to collect data and synthesise the collective fi...

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Vydané v:	Building and environment Ročník 266; s. 112083
Hlavní autori:	Alam, Noor, Zaki, Sheikh Ahmad, Ahmad, Syafiq Asyraff, Singh, Manoj Kumar, Azizan, Azizul, Othman, Nor'azizi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2024
Predmet:	Air conditioning Machine learning models Random forest algorithm Support vector machines Thermal comfort Air conditioning Support vector machines Thermal comfort Machine learning models Random forest algorithm
ISSN:	0360-1323
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