New Energy Operation Platform Monitoring Data Verification Method Based on Correlation Analysis Algorithm

Abstract

In recent years, new energy has developed rapidly, and all countries in the world regard new energy as the focus of sustainable economic and social development. The purpose of this paper is to study the monitoring data verification method of the new energy operation platform based on the correlation analysis algorithm. In order to solve the data transmission errors of the new power operation platform and monitor the data transmission process as the goal, the grey relational analysis method is deeply studied, and the functions of data collection, power generation monitoring and operation analysis of the new energy operation platform are proposed. The correlation analysis algorithm is used to extract new energy-related data, and a 3D CRC control technology is proposed to accurately detect error information and achieve error detection and correction capabilities at the sender and receiver. Finally, the monitoring data loss detection rate transmitted by the new power operation platform is 51.84×10-5. This method improves the analysis and verification level of system data, and better meets the requirements of the new energy operation platform for data accuracy and reliability.