Method for predicting power purchase issuing abnormity

Abstract

The invention discloses a method for predicting power purchase issuing abnormity, and aims to solve the problems existing in the existing power purchase abnormity. The method comprises the following specific steps: step 1, predicting a user who is about to purchase power in a period of time in the future, and obtaining an power purchase behavior which is about to happen; 2, collecting and extracting historical data; step 3, processing the data, determining a characteristic variable and a target variable, and obtaining the processed data; 4, carrying out supervised training on the classification model by using the processed data to obtain a trained model; and 5, judging an power purchasing behavior which is about to occur by utilizing the trained model, and predicting whether issuing abnormity occurs or not. The method is high in prediction result accuracy; whether faults occur in an electric energy meter, a concentrator, signal transmission and the like can be checked in advance in a targeted manner, and before a user purchases power, the faults are solved, the average time of power purchase and distribution is reduced, the success rate of power purchase and distribution is improved, complaints are reduced, and the user satisfaction is enhanced.

Description

technical field [0001] The invention relates to the field of abnormal analysis of electricity purchase, in particular to a method for predicting abnormality of electricity purchase and distribution. Background technique [0002] The large-scale power system that appeared in the 20th century is one of the most important achievements in the history of human engineering science. It is a power production and consumption system composed of power generation, power transmission, power transformation, power distribution and power consumption. It is converted into electricity through mechanical energy devices, and then supplied to various users through power transmission, transformation and distribution. [0003] The power system needs to analyze various situations of power, and the abnormal analysis of power purchase by users is one of them. Abnormal analysis of user electricity purchase is a very complex and time-consuming task. Since there are many reasons for the abnormality of...

AI Technical Summary

Problems solved by technology

Abnormal analysis of user power purchase is a very complex and time-consuming task

Since there are many reasons for the abnormality of the user's power purchase, such as collection failure, meter failure, etc., when the user's power purchase fails, the operation and maintenance personnel need to analyze the cause of the abnormality and carry out passive power transmission operation and maintenance. Bring many potential service risks and cause customer complaints. Due to various failure reasons, it often leads to the failure of the user to purchase electricity for a long time, or even the failure of the distribution. In the prior art, when the user purchases electricity abnormally , The operation and maintenance closed-loop system automatically generates a fault work order after 6 hours, and the on-site operation and maintenance personnel carry out on-site troubleshooting, which means that the user can only issue a work order after 6 hours of failure to purchase electricity, which takes a long time and leads to user satisfaction. The degree is low, and people are also doing related research

Images