Optimization of Power Indicator Benchmarking Assessment Based on Cloud Computing and Big Data Technology

This paper constructs the key business index system of electric power system consisting of electric power supply, electric power transmission, electric power distribution, electric power equipment and electric power system management.By evaluating the validity optimization, reliability optimization, and redundant indicator removal based on the neural network analysis method of the indicator system, a new power system key business indicator system is formed, and the weights of the optimized indicators are calculated.The power system key business indicator control program is designed based on the weight parameters, and a new power system key business indicator control platform is developed.Extract power data using the weighted FCM clustering algorithm, and classify user power data on the cloud platform.Resource utilization and performance response analysis are performed on the power system key business index control platform.The power system key business index control platform designed by index weights developed in this paper is able to meet the transaction demand under different concurrent user numbers, and always maintains a memory utilization rate within 10, with good operating conditions.