Study on indoor temperature optimal control of air-conditioning based on Twin Delayed Deep Deterministic policy gradient algorithm

The optimization of HVAC system control affects the thermal comfort of building environment and air-conditioning energy consumption. However, most existing studies concentrate on human thermal comfort and neglects to incorporate air-conditioning energy consumption required to establish a controlled...

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Veröffentlicht in:	Energy and buildings Jg. 317; S. 114420
Hauptverfasser:	Li, Wei, Wu, Hongji, Zhao, Yifan, Jiang, Changwei, Zhang, Jili
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.08.2024
Schlagworte:	Deep Reinforcement learning Energy consumption Indoor temperature Intelligent control Thermal comfort Deep Reinforcement learning Energy consumption Thermal comfort Indoor temperature Intelligent control
ISSN:	0378-7788
Online-Zugang:	Volltext
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