Toward intelligent multizone thermal control with multiagent deep reinforcement learning

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...

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Bibliographic Details
Main Authors: Li, Jie, Zhang, Wei, Gao, Guanyu, Wen, Yonggang, Jin, Guangyu, Christopoulos, Georgios
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/152738
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Institution: Nanyang Technological University
Language: English
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