Real-time identification of residential appliance events based on power monitoring

被引：0
|
作者：
Yang, Zhao [1 ,2 ]
Zhu, Zhicheng [1 ]
Wei, Zhiqiang [1 ]
Yin, Bo [1 ]
Wang, Xiuwei [1 ]
机构：
[1] Ocean Univ China, Coll Informat Sci & Engn, Qingdao, Peoples R China
[2] Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China
来源：
2017 INTERNATIONAL SYMPOSIUM ON APPLICATION OF MATERIALS SCIENCE AND ENERGY MATERIALS (SAMSE 2017) | 2018年 / 322卷
关键词：
D O I：
10.1088/1757-899X/322/7/072037
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Energy monitoring for specific home appliances has been regarded as the pre-requisite for reducing residential energy consumption. To enhance the accuracy of identifying operation status of household appliances and to keep pace with the development of smart power grid, this paper puts forward the integration of electric current and power data on the basis of existing algorithm. If average power difference of several adjacent cycles varies from the baseline and goes beyond the pre-assigned threshold value, the event will be flagged. Based on MATLAB platform and domestic appliances simulations, the results of tested data and verified algorithm indicate that the power method has accomplished desired results of appliance identification.
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页数：6
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