With the development of smart grids and the deepening of electricity marketization reform,the volume of electricity trading data has sharply increased,and the types of data are becoming increasingly complex.Effective data classification and grading are of great significance for improving the efficiency of power system operation and ensuring the stable operation of the power market.This article aims to explore in depth the classification and grading methods of electricity trading data,and analyze their applications in fields such as electricity trading,market regulation,and data analysis.Firstly,this article analyzes the characteristics of electricity trading data and proposes a comprehensive data classification framework based on these characteristics;Secondly,a graded study was conducted based on the sensitivity and importance of data at different levels.On the basis of classification and grading,further analysis was conducted on the application of electricity trading data in various fields.This article provides new theoretical and methodological guidance for the standardization,transparency,and efficiency of the electricity market by delving into the classification and hierarchical management of electricity trading data.
维普
万方数据