Study Of The Credit Evaluation Of Key Customer And The Risk Management Of The Power Company

The management of the electricity charge recycling in the power company is to ensure that the charge can be collected normally, which is an important goal for the sustainable development of the company. With the rapid increase in the power consumption of customers and the change of the external environment, the risk of the electricity recovery and the uncertainty of the power company are increasing year by year. It’s an important and urgent question for the power company to study the problem in the process of the charge recycling, enhance the company’s risk management level, prevent the increase of electricity non-performing loans, reduce business risk, and increase the company’s operating capacity.In the paper, a scientific and comprehensive analysis of the status of the recycling management is studied, using the advanced risk management theories and methods. And the potential risks and the cause of risk are analyzed in detail. Then, the method of the hierarchical clustering classifying is used for the key customers, and a credit evaluation system of key customers is established. The rough sets method is used to determine the weights and the evaluation level. Next, the paper proposes an electricity risk forecasting model based on FUZZY-SVM for key customers. The results of the prediction accuracy is 97.26%. which proves that the model is practicable and applicable. Last, a project of the risk management system of the power company is put forward, which set clear of the risk management objectives, organization construction and implementation plan. And various risk management and strategies are proposed.The credit evaluation of key customer is based on the annual cycle to investigate the key customer credit for a long time, which focuses on prevention. Electricity risk forecasting model is to accurately identify the risk in the short term and prevent further proliferation risk, which focus on the matter controls. These two methods are carried on the exploration from different angle and the time for key customer of their electricity credit and risk. They are complementary and mutual. On one hand, they can reduce the work of the electricity recovery management, on the other hand, they can improve the management efficiency and quality of work, which can help the power company to find the potential risks, take the rapid measures to reduce the risk of losses.