A Method for Constructing Customer Electricity Usage Portrait in Power Marketing Management Platform
In this paper,through the deep collation and mining of historical data,we refine the label library of customer power usage behavior containing subtle differences,and use it to extract the unique characteristics of customers'power usage,and at the same time,we use advanced clustering algorithms and multi-dimensional visualization technology to process the power usage characteristics,and generate multi-dimensional,visual customer power usage portraits.Through the method test,the absolute fitting index between the customer power usage portrait construction method of this paper's power marketing management platform and the actual customer power usage behavior is 0.98,which proves that the customer power usage portrait constructed by this method can accurately reflect and predict the actual power usage behavior of customers.
power marketing managementplatform customerspower usage portraitportrait constructionpower usage characteristicsconsumption habits
万方数据
