The application of mean-shift cluster in residential appliance identification

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.