Reinforcement Learning with Dual Safety Policies for Energy Savings in Building Energy Systems

Reinforcement learning (RL) is being gradually applied in the control of heating, ventilation and air-conditioning (HVAC) systems to learn the optimal control sequences for energy savings. However, due to the “trial and error” issue, the output sequences of RL may cause potential operational safety...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Xingbin Lin, Deyu Yuan, Xifei Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-02-01
Schriftenreihe:	Buildings
Schlagworte:	reinforcement learning safety policy HVAC system control energy saving
Online-Zugang:	https://www.mdpi.com/2075-5309/13/3/580
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!