User Risk Assessment Based on Historical Electricity Bill Data of Power Supply Stations

As the direct embodiment of the operating results of power supply enterprises, it is particularly important to strengthen the management of electricity charges and reduce the risk of electricity charges. Accurate and efficient electricity bill intelligent collection application can effectively build electricity bill recovery risk, with the rapid development of new technologies such as large data and cloud computing, the construction and application of electricity customer portrait library has sufficient conditions. Based on historical data, extract customer characteristic labels, present customer portraits in multiple dimensions, and screen the characteristic indicators of marketing electricity rate recovery risk, predict the way of electricity rate recovery, judge the risk level of users' electricity rate prediction, and improve the efficiency of electricity rate collection.