Study on key technology of power users credit rating evaluation based on big data

The electricity power supply company has entered the era of market economy as the deepening of reform, and the pressure to run the company well is increasing gradually. However, some questions, such as malicious default, electricity bills evasion, electricity cheat, and so on, still have not been solved. How to effectively avoid the arrearage risk and improve the economic benefit is key for the enterprises. This paper mainly studied the power users credit rating evaluation based on big data. This system proposed a new algorithm model which combined traditional k-Nearest Neighbor (KNN) and Simulated annealing (SA) and used the big data software framework and data processing technology to rapid construct the users portrait as well as evaluate the users rating and credit rating division, evaluation, and so on. Finally, the results were presented and then laid a good foundation for the researches in future.