Deepcomfort : energy-efficient thermal comfort control in buildings via reinforcement learning

• Main Authors: Gao, Guanyu, Li, Jie, Wen, Yonggang
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Thermal Comfort Control; Thermal Comfort Prediction; Deep Reinforcement Learning; Heating, Ventilation, and Air Conditioning; Smart Building
• Online Access: https://hdl.handle.net/10356/152769
• Institution: Nanyang Technological University

Heating, Ventilation, and Air Conditioning (HVAC) are extremely energy-consuming, accounting for 40% of total building energy consumption. It is crucial to design some energy-efficient building thermal comfort control strategy which can reduce the energy consumption of the HVAC while maintaining the...