Application research of power grid energy consumption pattern analysis and data mining technology in economic management

The application research of power grid energy consumption pattern analysis and data mining technology in economic management has made some progress. Through data mining technology, the power grid energy consumption pattern can be deeply analyzed, and the law and trend of energy consumption can be revealed. This helps power grid enterprises to better understand energy consumption, optimize energy allocation, reduce energy costs, and improve economic benefits. The purpose of this study is to explore the application of power grid energy consumption pattern analysis and data mining technology in economic management. By using the methods of data mining, energy consumption pattern analysis and economic management, an innovative power grid energy consumption pattern analysis and economic management system is proposed to improve the power grid operation efficiency and energy utilization efficiency. By using data mining technology, through analyzing the operation data and energy consumption of power grid, the mining and analysis of power grid energy consumption pattern is realized. By using the method of energy consumption pattern analysis, the key features and rules are extracted to provide decision support for economic management. In the aspect of economic management, combining the results of energy consumption pattern analysis, reasonable energy consumption strategies and management measures are formulated to improve the economic benefits and sustainable development ability of power grid. Finally, data mining technology is used to monitor and analyze the operation data of the power grid, find and solve potential problems.