Intelligent Integration Method of Big Data for Time Sharing Regulation of Elastic Load

Abstract

At present, the intelligent data integration method requires a large number of professionals to integrate the time-sharing control big data of electric elastic load. After the integration, there is a large amount of redundant data and the data integration efficiency is low. Therefore, an intelligent integration method of time-sharing regulation big data of electric elastic load is proposed. The data parallel state is calculated, the mathematical description of data parallel state is analyzed, and the change of electric power data in the time-sharing regulation and control of power elastic load is analyzed, and the mathematical description result is modified to further improve the data state analysis result. According to the obtained data state description result, the data state is decomposed to reduce the difficulty of data intelligent integration; data intelligence is designed Integration process, the data in the data intelligent integration of secondary planning, reduce the redundant data in the data, complete the data intelligent integration. The experimental results show that the intelligent data integration method in this study integrates the time-sharing control big data of electric elastic load, which makes the results of data integration more accurate, improves the rate of deleting redundant data, and reduces the redundancy of the integrated data set.