Electricity load type identification method

A technology for electrical load and type recognition, applied in character and pattern recognition, pattern recognition in signals, measurement of electricity and other directions, can solve the problems of incomplete accurate recognition, single feature nature, single identification method, etc. , the acquisition method is simple, and the recognition accuracy is high.

Inactive Publication Date: 2016-08-31
HUNAN UNIV OF TECH
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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 characterist

Method used

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  • Electricity load type identification method
  • Electricity load type identification method
  • Electricity load type identification method

Examples

Experimental program
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Example Embodiment

[0076] Example 2 selects the NBC classifier as the auxiliary classifier. The definition of Naive Bayes classification is as follows:

[0077] ⑴ Let x = {a 1 ,a 2 ,...,A m } Is an item to be classified, and each a is a characteristic attribute of x;

[0078] ⑵There are category set C={y 1 ,y 2 ,...,Y n };

[0079] ⑶Calculate P(y 1 |x),P(y 2 |x),…,P(y n |x);

[0080] ⑷If P(y k |x)=max{P(y 1 |x),P(y 2 |x),…,P(y n |x)}, then x∈y k .

[0081] The specific method for calculating each conditional probability in step (3) is:

[0082] ① Find a set of items to be classified with a known classification as a training sample set;

[0083] ②Statistics obtain the conditional probability estimation of each characteristic attribute under each category;

[0084] P(a 1 |y 1 ),P(a 2 |y 1 ),…,P(a m |y 1 );

[0085] P(a 1 |y 2 ),P(a 2 |y 2 ),…,P(a m |y 2 );

[0086] …

[0087] P(a 1 |y n ),P(a 2 |y n ),…,P(a m |y n ).

[0088] ③According to Bayes' theorem, there are:

[0089] P ( y i | x ) = ...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G01R31/00
CPCG01R31/00G06F2218/02G06F2218/12G06F18/285G06F18/2411G06F18/24155
Inventor 凌云王兵郭艳杰陈刚
Owner HUNAN UNIV OF TECH
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