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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Veröffentlicht in:	Applied thermal engineering Jg. 260; S. 124987
Hauptverfasser:	Fan, Yuankang, Fu, Qiming, Chen, Jianping, Wang, Yunzhe, Lu, You, Liu, Ke
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2025
Schlagworte:	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-Zugang:	Volltext
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