A deep reinforcement learning control method for multi-zone precooling in commercial buildings

•We propose a Markov Decision Process framework for optimal precooling control, enabling the precise allocation of limited cooling capacity across multiple thermal zones and solving the energy consumption problem caused by precooling discrepancies between zones.•Thermal transmission between adjacent...

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Bibliographic Details

Published in:	Applied thermal engineering Vol. 260; p. 124987
Main Authors:	Fan, Yuankang, Fu, Qiming, Chen, Jianping, Wang, Yunzhe, Lu, You, Liu, Ke
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2025
Subjects:	Deep reinforcement learning HVAC systems Multi-zone commercial buildings Parametric analysis Precooling control Deep reinforcement learning Multi-zone commercial buildings HVAC systems Parametric analysis Precooling control
ISSN:	1359-4311
Online Access:	Get full text
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