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

• المؤلفون الرئيسيون: Gao, Guanyu, Li, Jie, Wen, Yonggang
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Thermal Comfort Control; Thermal Comfort Prediction; Deep Reinforcement Learning; Heating, Ventilation, and Air Conditioning; Smart Building
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/152769

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...