Method for analyzing and perceiving family population characteristics through power consumption data

Abstract

The invention discloses a method for sensing family population characteristics through power consumption data analysis, and belongs to the field of power supply management. The method comprises the following steps of: dividing typical categories of metropolitan families into tenant families, elderly independent families, low-consumption-ability families and high-consumption-ability families by considering the difference of various families in electrical load characteristics and possible differential electrical services through electrical data analysis, so that the metropolitan families are classified into the tenant families, the elderly independent families, the low-consumption-ability families and the high-consumption-ability families; according to different household electricity consumption mode analysis, various types of household electricity consumption characteristic indexes are obtained, and then various types of users are recognized; family population characteristics are perceived through power consumption data analysis, different power supply services are implemented for families with different characteristics on the basis of population characteristic classification, the application value of a power consumption information acquisition system can be brought into play, and power consumption data appreciation is realized. The method can be widely used in power supply management field.

Description

technical field [0001] The invention belongs to the field of power supply management, and in particular relates to a method for sensing family population characteristics through electricity consumption data analysis. Background technique [0002] In recent years, with the development of internationalization and changes in economic structure and population structure, the categories of households (referring to residential users corresponding to one electricity address) in metropolises such as Shanghai have shown a trend of diversification, and many new types have emerged . [0003] For example, with the development of the real estate industry and the improvement of people's living standards, more and more families own more than two sets of houses, and at the same time the number of migrant workers increases, resulting in the emergence of many renter-type families; The first generation to implement the one-child policy has entered the old age stage, and the problem of empty ne...

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Problems solved by technology

[0005] However, the data analysis in the above studies is limited to the analysis of the characteristics of the user's electricity consumption behavior itself, and has not yet involved the mining analysis of population characteristics.

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