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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Bibliographic Details

Published in:	Energy and buildings Vol. 317; p. 114420
Main Authors:	Li, Wei, Wu, Hongji, Zhao, Yifan, Jiang, Changwei, Zhang, Jili
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.08.2024
Subjects:	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 Access:	Get full text
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