Electricity consumption label system based on electricity consumption characteristics

Abstract

The invention relates to an electricity consumption label system based on electricity consumption characteristics, and the system is used for marking industry labels for electricity users and comprises an industry model subsystem, an information fitting subsystem, an electricity consumption label subsystem and an electricity consumption information database; data of each dimension of the electricity users are collected, preliminary matching of industry labels is carried out on the electricity users in a model training mode, the situation that the industry labels cannot be matched due to incomplete data of the electricity users can be avoided through the arrangement, and further, through two aspects of industry distribution deviation and concentration degree deviation, through a dynamic correction mode, the marks of the industry labels do not belong to independent mark logic any more, so that the marking precision is improved, and the marking result of each industry label can influence the industry labels of other electricity users (by influencing the industry distribution and concentration ratio); and the possibility is really provided for industry automatic labeling of electricity users in a big data environment.

Description

technical field [0001] The present invention relates to an electricity consumption data acquisition system, and more specifically, to an electricity consumption label system based on electricity consumption characteristics. Background technique [0002] Electric power is an important indicator of the power system. The "online power grid" system gathers a large amount of power data, and the growth of power is closely related to social and economic development. Through the relationship between power and economy, the macroeconomic situation and power demand can be better grasped Trends, provide data support for planning, power distribution and other businesses, and achieve the goal of "seeing the economy from power". With the increasing demand for power analysis, the data granularity for classifying power data is getting higher and higher, especially for the analysis of the industry, which also puts forward more and more refined requirements. Network, and registered the electr...

AI Technical Summary

Problems solved by technology

With the increasing demand for power analysis, the data granularity for classifying power data is getting higher and higher, especially for the analysis of the industry, which also puts forward more and more refined requirements. Network, and registered the electricity network, but there are still several problems, the data format is not uniform, the data cannot be quantified, some data are missing or omitted, the efficiency of manual analysis is low, the subjectivity is serious, and a single data cannot correspond to the actual situation. Classification requirements make it difficult to realize the labeling of power consumption data

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