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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Building and environment Jg. 266; S. 112083
Hauptverfasser:	Alam, Noor, Zaki, Sheikh Ahmad, Ahmad, Syafiq Asyraff, Singh, Manoj Kumar, Azizan, Azizul, Othman, Nor'azizi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2024
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!