Energy efficiency improvement with k-means approach to thermal comfort for ACMV systems of smart buildings

This paper proposes a novel methodology to predict thermal comfort states of occupants with k-means approach. The approach is embedded into an optimization problem, which is used to locate optimal operating conditions via Augmented Firefly Algorithm (AFA), for improving energy efficiency of building...

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Bibliografiska uppgifter
Huvudupphovsmän: Zhai, Deqing, Chaudhuri, Tanaya, Soh, Yeng Chai
Övriga upphovsmän: School of Electrical and Electronic Engineering
Materialtyp: Conference Paper
Språk:English
Publicerad: 2018
Ämnen:
Länkar:https://hdl.handle.net/10356/88310
http://hdl.handle.net/10220/44836