Load identification method based on electric power fingerprint and computer readable storage medium

Abstract

The invention relates to the field of intelligent power grid load identification technology application, in particular to a computer readable storage medium. A computer program is stored in the computer readable storage medium, and a load identification method based on power fingerprint is realized when the computer program is executed by a controller. According to the load identification method based on the electric power fingerprint, household appliance load identification features are extracted from massive household appliance load power utilization data through power calculation, Fourier analysis and other means, so that an electric power fingerprint set is obtained, training is performed through a gradient boosting tree classifier, and a gradient boosting tree classifier model is verified through a test data set; and finally, the trained gradient boosting tree classification model is used for household appliance load classification. And data mining is performed on the household appliance load electric power fingerprint by using the gradient boosting tree classifier so that rapid and accurate identification of the household appliance load of the intelligent power grid can be realized.

Description

technical field [0001] The present invention relates to the application field of smart grid load identification technology, in particular to a computer-readable storage medium, which stores a computer program, and implements a load identification method based on power fingerprints when the computer program is executed by a controller. Background technique [0002] Smart grid uses advanced information and communication technology, computer technology, control technology and other advanced technologies to realize the coordination of the needs and functions of various stakeholders in power generation, power grid operation, terminal power consumption and power market, and to improve the efficiency of each part of the system as much as possible. While improving the reliability, self-healing ability and stability of the system as much as possible while reducing the cost and environmental impact, the smart grid is the direction and trend of the development of the power industry. On...

AI Technical Summary

Problems solved by technology

However, as the types of household appliances that can obtain electricity consumption data increase, and the complexity of the smart grid system continues to change, it is difficult to quickly and accurately identify massive household appliance electricity consumption data.

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