An online learning approach for quantifying personalized thermal comfort via adaptive stochastic modeling

HVAC systems are the major energy consumers in commercial buildings in the United States. These systems are operated to provide comfortable thermal conditions for building occupants. The common practice of defining operational settings for HVAC systems is to use fixed set points, which assume occupa...

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Veröffentlicht in:	Building and environment 2015-10, Vol.92, p.86-96
Hauptverfasser:	Ghahramani, Ali, Tang, Chao, Becerik-Gerber, Burcin
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive stochastic modeling Bayesian analysis Buildings Comfort Commercial buildings Construction Distance education Distance learning Online learning Personalized Personalized comfort Probabilistic modeling Thermal comfort
Online-Zugang:	Volltext
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