Research On Big Data Analysis Of The Behavior Of Zero Electricity Consumption And The User Credit Construction In Company A

In recent years,the traditional power marketing mode has been impacted by various technical means from the era of "big data".Based on "big data",all kinds of marketing power supply service innovation emerge in endlessly.However,the correlation between power marketing data and the potential value behind the data have not been systematically studied and scientifically applied.Therefore,there are still a lot of problems in the lean management of marketing.The application of "big data" in problem identification,risk management and auxiliary decision-making still has a huge promotion space.Firstly,starting with the concept of "big data" in electric power industry layer upon layer,this paper makes a detailed overview and analysis of the application of "big data" analysis method,analysis steps and analysis ideas in electric power industry.Combining with actual requirement this paper emphatically explains the principles,main steps and advantages and disadvantages of the analytic hierarchy process and the fuzzy analysis method in the multi-objective decision-making method,so as to follow up.It lays a foundation for the analysis of the following chapters.Secondly,using data mining technology,zero-point users who will not be able to directly judge the urgency of checking with formulas are divided into different levels by establishing multi-dimensional,multi-perspective analysis model,grading and sorting,and different management strategies are implemented to improve the pertinence and execution of checks,achieve closed-loop management of the process,and improve the accuracy of zero power users in measuring errors,faults or larceny measurements.This method shortens the time period of discovering anomalies and reduces the risk of problems.Thirdly,an evaluation model of user credit value is constructed by using analytic hierarchy process and fuzzy comprehensive evaluation method,and the weight of influencing factors among various factors is determined.The feasibility of the evaluation system is proved by extracting some user information and bringing relevant data into the model to verify.In addition,a three-dimensional power credit system is built from both internal and external directions.Internally,with scientific credit evaluation criteria,workflow and application mode,different management and control service modes are adopted for different types of customers to form a fair,rigorous and effective evaluation mechanism;different service modes are adopted for different types of customers to improve the effect of electricity tariff risk management and control.Externally,contact the government and relevant social institutions actively,improve the power credit platform,formulate a comprehensive guidance model,improve the voluntariness of users to pay electricity fees on time,standardizing electricity safety,reduce the pressure of electricity charges collection,and speed up the pace of electricity charges recovery.The research of this paper has a certain practical application value for the improvement of lean management level of electric power marketing measurement in city A,and provides a good idea and guidance for the risk prevention and management of electric charges.