Design of power grid customer's behavior analysis system under the background of large data
In order to make use of the vast amounts of customer data of power grid for electricity customers with electrical behavior analysis and forecast,under the background of big data,the introduction of data mining technology,design the grid customer behavior analysis system.According to the customer data established by electric customer segmentation and customer credit rating classification standard.In terms of data mining,K-means algorithm is adopted for electricity customers for customer segmentation,using ID3 decision tree algorithm for classification of customer credit degree.And finally to a electric power customer service center specific data to test.The results effective response to the classification of customers conduct electricity system satisfies the design requirements.
big datadata miningpower griduser behavior analysis
NETL
NSTL
万方数据
维普
