Local electric energy meter correction service planning method and system based on data prediction

Abstract

The invention relates to a local electric energy meter correction service planning method and system based on data prediction. The method comprises the following steps of S1, acquiring the historicalcorrection data of the local electric energy meters, wherein the historical data comprises the historical annual electric energy meter correction amount of each local divided area, the local lmonthlyhistorical electric energy meter correction amount, the local historical meteorological data and the local historical electricity consumption; S2, utilizing a prediction algorithm to calculate the historical correction data of the local electric energy meters, and obtaining the future electric energy meter correction prediction data, wherein the prediction data comprise the future annual electricenergy meter correction amount of all local divided areas, the local monthly future electric energy meter correction amount and the local future electricity consumption; and S3, integrating the futureelectric energy meter correction prediction data, planning the electric energy meter correction service investment for each time period in each divided area. Compared with the prior art, the method and the system have the advantages of high efficiency, good credibility and the like.

Description

technical field [0001] The invention relates to the field of statistical data analysis of smart electric meters, in particular to a method and system for planning school application services for local electric energy meters based on data prediction. Background technique [0002] Smart meters include measurement, data processing and communication units. They are electric energy meters with functions such as electric energy measurement, electric energy data information processing, real-time monitoring, automatic control, and information interaction. At present, they have become the main user electric energy metering electric meter equipment. With the rapid development of smart grid in recent years, the rapid progress of smart technology and the goal of building a smart grid in my country, customer service has become the research focus of the State Grid. Customer demand for smart meters has also grown substantially. The development of intelligent technology and the increasing d...

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Problems solved by technology

[0003] In recent years, users' awareness of rights protection and legal awareness has been continuously improved, and more and more electricity customers have raised objections to the accuracy of energy meters that are responsible for measurement tasks and involve the interests of both power suppliers and consumers. The conversion of smart electric energy meters and more accurate measurement methods lead to significantly higher electricity consumption data than traditional electric meters. The increase in metered power makes users suspicious and dissatisfied with electric meters, which seriously affects customer satisfaction.

On the other hand, smart meters have been popularized and updated for many years. Some meters are close to the end of their service life and are prone to failure, which will affect the user experience of using electricity and the number of school applications will increase in the future.

At present, the number of applications for electric energy meters of State Grid Corporation of China has risen sharply, and the number of applications for school applications varies greatly in different regions and time periods of the city. With the development of the big data era and the improvement of high-quality metering services, energy meter services urgently need to be optimized

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