Electric Power Customer Online Clustering Based on Mass Measurement Data
Yang Jin-fen · East China Electric Power · 2013
Based on the cloud computing technology,the sample data is divided into some data blocks through MapReduce scheduler. The power customers are clustered by using parallel distributed computing algorithm. Then on the basis of the generated customer clustering and K cluster centers,the online real-time clustering is implemented for the additional customer data by using Canopy algorithm.