Learning Personalized Thermal Comfort Profile of HVAC System Based on DENFIS

来源 :第26届中国过程控制会议 | 被引量 : 0次 | 上传用户：stone88822

【摘要】

：

【作者】

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Chen Sheng Li Ning Li Shaoyuan

【机构】

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Department of Automation,Shanghai Jiao Tong University,Shanghai 200240

【出处】

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第26届中国过程控制会议

【发表日期】

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2015年10期

【关键词】

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Human learning HVAC system DENFIS Thermal comfort profile

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　　This paper introduces a novel approach to learn occupants personalized thermal comfort profile of HVAC system based on the relationship between users thermal preference and ambient environmental conditions.A well-designed human-machine interface is presented to obtain data on human-related factors.In addition,the indoor temperature data collected from sensors in real time is combined to incrementally learn users personalized comfort profile,by utilizing a method named evolving neural-fuzzy inference system(DENFIS).Simulation based on synthetically generated data confirms the feasibility and validity of the proposal in this paper.

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Learning Personalized Thermal Comfort Profile of HVAC System Based on DENFIS

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