Energy-efficient control of thermal comfort in multi-zone residential HVAC via reinforcement learning

Energy efficient control of thermal comfort has been already an important part of residential heating, ventilation, and air conditioning (HVAC) systems. However, the optimisation of energy saving control for thermal comfort is not an easy task due to the complex dynamics of HVAC systems, the dynamic...

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Bibliographic Details

Published in:	Connection Science
Main Authors:	Zheng-Kai Ding, Qi-Ming Fu, Jian-Ping Chen, Hong-Jie Wu, You Lu, Fu-Yuan Hu
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Subjects:	reinforcement learning deep reinforcement learning multi-zone residential hvac energy consumption thermal comfort
Online Access:	http://dx.doi.org/10.1080/09540091.2022.2120598