Efficient and assured reinforcement learning-based building HVAC control with heterogeneous expert-guided training

Efficient and assured reinforcement learning-based building HVAC control with heterogeneous expert-guided training

Abstract Building heating, ventilation, and air conditioning (HVAC) systems account for nearly half of building energy consumption and $$20\%$$ of total energy consumption in the US. Their operation is also crucial for ensuring the physical and mental health of building occupants. Compared with trad...

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Bibliographic Details
Main Authors: Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Chao Huang, Zheng O’Neill, Zhaoran Wang, Qi Zhu
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
HVAC control
Reinforcement learning
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-91326-z

Internet

https://doi.org/10.1038/s41598-025-91326-z

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