Research on Business Characteristic Data Generation Method Based on Comprehensive Energy Measurement Characteristics

In order to further promote the construction of the smart energy service system, it is urgent to build a comprehensive, efficient, accurate and reliable integrated energy metering simulation system to realize the true restoration of various scenarios and effectively support the exploration, research and promotion of various new energy metering technologies. However, the current comprehensive energy metering is still in the development stage, and there is not enough data to support the construction of the simulation system in some areas. In this case, this paper proposes a data generation method based on an improved generation counter network, adding penalty terms to the loss function to solve the problem of gradient explosion in data generation. Based on the user's file data information, this paper uses exploratory spatial statistical analysis methods to analyse the spatial distribution characteristics of the original data, and uses the Moran coefficient to measure the spatial distribution of measurement methods.