Title :
The application of mean-shift cluster in residential appliance identification
Author :
Wang Zhenyu ; Zheng Guilin
Author_Institution :
Dept. of Autom., Wuhan Univ., Wuhan, China
Abstract :
This paper proposes the application flow of mean-shift clustering in NILM system. The raw data is extracted by meter which install on the main electric entrance of the resident, the mean-shift clustering is based on the data after events detector processing, and the result of clustering is used as input data of final identification. A actual residential trail is given to show the clustering is available in the NILM system.
Keywords :
computerised monitoring; domestic appliances; pattern clustering; power meters; NILM system; detector processing; mean shift cluster application; non intrusive load monitoring; residential appliance identification; Clustering algorithms; Data mining; Estimation; Feature extraction; Home appliances; Kernel; Monitoring; Mean-shift clustering; NILM; Residential appliance identification;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
