Electric energy metering device type selection method and system based on decision tree

Abstract

The invention discloses an electric energy metering device type selection method and system based on a decision tree, and the method comprises the steps: 1, obtaining a training sample set S and a test sample set according to the type selection parameter data of an electric energy metering device; 2, calculating information gain rates of all model selection parameters in the training sample set S;3, constructing an electric energy metering device type selection decision tree model according to the information gain rate calculated in the step 2; 4, correcting the model selection decision treemodel constructed in the step 3 based on the training sample set S and the test sample set; and 5, performing electric energy metering device model selection by using the electric energy metering device model selection decision tree model corrected in the step 4. Aiming at the problem that a user carries out electric energy metering device model selection configuration under various different applications and scenes, based on the decision tree, the cost of manual model selection can be reduced, the device specification refinement is realized, and the search requirement of the user is met, so that the type selection efficiency of the electric energy metering device is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of electric energy metering device selection, and relates to a decision tree-based electric energy metering device selection method and system. Background technique [0002] With the development and progress of electric power technology, electric energy metering devices are moving towards intelligence, networking, standardization, digitization, informationization and systemization. The electric energy metering device is to maintain the stability of the power generation, power supply and electricity consumption, and facilitate the sales and trading of the power generation, power supply, and electricity consumption. work one. [0003] At present, most of the configuration and selection work of electric energy metering devices is done manually, which not only consumes a lot of manpower, but also leads to a large number of unavoidable subjective factors in the selection process, resulting in certain errors in t...

AI Technical Summary

Problems solved by technology

[0004] In recent years, with the development of power grid automation technology, the selection methods of electric energy metering devices have gradually diversified. Analytical hierarchy process, rough set mathematical method, decision analysis method based on logical link control, etc. have all achieved certain results. Intelligence, versatility level is not high, and there is a certain distance from practicality

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