Enhancing IAQ, thermal comfort, and energy efficiency through an adaptive multi-objective particle swarm optimizer-grey wolf optimization algorithm for smart environmental control

People in modern societies spend most of their time in buildings, and a considerable amount of energy is used to maintain indoor air quality (IAQ) and thermal comfort levels to ensure people's health and productivity. Thus, to ensure the energy efficiency of buildings, smart environmental contr...

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Veröffentlicht in:	Building and environment Jg. 235; S. 110235
Hauptverfasser:	Li, Lu, He, Yingdong, Zhang, Hui, Fung, Jimmy C.H., Lau, Alexis K.H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2023
Schlagworte:	Adaptive multi-objective particle swarm optimizer-grey wolf optimization algorithm Energy savings Indoor air quality Smart environmental control Thermal comfort level Adaptive multi-objective particle swarm optimizer-grey wolf optimization algorithm Smart environmental control Energy savings Indoor air quality Thermal comfort level
ISSN:	0360-1323, 1873-684X
Online-Zugang:	Volltext
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