Electricity load type identification method

Abstract

The invention discloses an electricity load type identification method, which is realized through an electricity load identification device consisting of an information collection module, an information processing module and a communication module. The electricity load type identification method simultaneously adopts electricity load starting current characteristics including starting process time, a starting current maximum value, and starting current maximum value time and a load current frequency spectrum characteristic of the electricity load as identification characteristics for the electricity load, and the characteristic information is rich. The electricity load type identification method adopts a combination classifier comprising a support vector machine classifier and a Bayes classifier to perform identification classification, performs comprehensive identification in consideration of characteristics of two classifiers, and thus has high identification accuracy. The provided methods for obtaining starting current characteristics and load current frequency spectrum characteristics are simple and reliable. The electricity load identification device can be used in some collective public places like a students 'dormitory, a large-scale pedlars' market, etc, where the electricity load management is needed, and can also be used in other places where need to perform electricity load type statistics and electricity appliance management.

Description

technical field [0001] The invention relates to a method for identifying and classifying equipment, in particular to a method for identifying types of electrical loads. Background technique [0002] At present, the mainstream identification methods for the nature of electrical loads or electrical appliances include the identification method of electrical load based on the comprehensive coefficient algorithm of load power, the identification method of electrical load based on electromagnetic induction, the identification method of electrical load based on neural network algorithm, and the identification method based on cycle time. Discrete Transform Algorithm for Electrical Load Identification Method, etc. Various methods can realize the identification of the nature of electrical loads to a certain extent, but due to the single nature of the characteristics and the single identification means, there are generally problems of insufficient generalization ability and incomplete ...

AI Technical Summary

Problems solved by technology

Various methods can realize the identification of the nature of the electrical load to a certain extent, but due to the single nature of the characteristics and the single identification method, there are generally problems of insufficient generalization ability and incomplete and accurate identification.

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