A Review of Reinforcement Learning Applications to Control of Heating, Ventilation and Air Conditioning Systems

A Review of Reinforcement Learning Applications to Control of Heating, Ventilation and Air Conditioning Systems

Reinforcement learning has emerged as a potentially disruptive technology for control and optimization of HVAC systems. A reinforcement learning agent takes actions, which can be direct HVAC actuator commands or setpoints for control loops in building automation systems. The actions are taken to opt...

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Bibliographic Details
Main Authors: Seppo Sierla, Heikki Ihasalo, Valeriy Vyatkin
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Energies
Subjects:
reinforcement learning
machine learning
heating
ventilation
air conditioning
building energy simulator
Online Access:https://www.mdpi.com/1996-1073/15/10/3526

Internet

https://www.mdpi.com/1996-1073/15/10/3526

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