Recovery and tracing method and device for missing data of daily electric quantity

Abstract

Provided is a recovery and tracing method for missing data of daily electric quantity. The method comprises the following steps: acquiring user information and electric energy meter information and monthly electric quantity data thereof; obtaining daily electric quantity data of each user according to a daily electric quantity rule; examining daily electric quantity in each month and finding out the daily electric quantity which needs to be recovered in each month; adopting two multiple-imputation models based on different algorithms to recover the daily electric quantity which needs to be recovered in each month and obtaining a recovery data set; and comparing obtained daily monthly electric quantities of users with monthly electric quantities corresponding to the recovery data set and taking the recovery data set with the minimal deviation ratio as a best result set. The recovery and tracing method for missing data of daily electric quantity has the following advantages: by recovering missing value of daily electric quantity, data quality of daily electric quantity is improved, which truly reflects the real condition of daily electric quantity of each user; the method provides areal and reliable data base for the study related to electricity utilization behaviors of users; and data is recovered by the two multiple-imputation models based on the different algorithms so that accuracy of data recovery is improved.

Description

technical field [0001] The invention relates to the technical field of electricity marketing electricity monitoring and analysis, in particular to a method and device for restoring and tracing missing daily electricity quantity data. Background technique [0002] With the development of State Grid's intelligent information technology and the improvement of precise service levels in recent years, electricity consumption data, especially daily electricity data, has become increasingly important to power companies and other industries. , Estimating the industry's electricity consumption trend, development scale and regional economic development trend, guiding power companies to formulate corresponding strategic plans and improving customer service quality all play a vital role. [0003] The daily electricity data mainly comes from the electricity consumption information collection system, which is obtained through the smart electric energy meter (the current day’s electric ener...

AI Technical Summary

Problems solved by technology

After technical retrieval, it is found that there are few domestic studies on the restoration and traceability of missing daily electricity data, most of which are seasonal or trend predictions from a macro perspective, and no specific solutions have been given.

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