Analysis of Customer Behavior on Power Demand Side Based on Massive Data
Based on massive electricity consumption data of residents and industrial and commercial customers in Shanghai,consumer behavior is analyzed by data mining.The piecewise-linear-interpolation method is taken to revise the outliers,and the characteristic of customer behavior is studied by mathematical statistics and cluster method.This research provides constructive guidance for the personalized intelligent electricity use and the energy efficiency management improvement.
NETL
NSTL
万方数据
维普
