Energy Efficient Thermal Comfort Control via Human In The Loop RL in Smart Home
Author:
Affiliation:
1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China
Funder
Natural Science Foundation of China
Natural Science Foundation of Chongqing
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437421.pdf?arnumber=10437421
Reference14 articles.
1. A review on buildings energy consumption information
2. Demystifying Thermal Comfort in Smart Buildings: An Interpretable Machine Learning Approach
3. Multi-Objective Control of Residential HVAC Loads for Balancing the User’s Comfort With the Frequency Regulation Performance
4. DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning
5. An Hybrid Model-Free Reinforcement Learning Approach for HVAC Control
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