Toward intelligent multizone thermal control with multiagent deep reinforcement learning

• المؤلفون الرئيسيون: Li, Jie, Zhang, Wei, Gao, Guanyu, Wen, Yonggang, Jin, Guangyu, Christopoulos, Georgios
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Multi-agent Deep Reinforcement Learning; Neural Network; Energy Efficiency; Thermal Comfort; Smart Building
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/152738

Energy usage and thermal comfort are the pillars of smart buildings. Many research works have been proposed to save energy while maintaining a comfortable thermal condition. However, most of them either make the over-simplified assumption on thermal comfort with unsatisfied comfort performance or de...