Power business collaborative classification method and system based on ID3 decision tree algorithm

Abstract

The invention discloses a power business collaborative classification method and system based on an ID3 decision tree algorithm. The power business collaborative classification method comprises the following steps: obtaining a power business collaborative related database, and extracting a sample set S from the power business collaborative related database; extracting an index set A, wherein the index set A contains indexes for evaluating the business collaboration data; calculating the information entropy and the information gain of each index for the sample set S based on an ID3 algorithm soas to select a proper root node and a proper intermediate node; and constructing a decision tree according to the selected root node; evaluating and selecting each service cooperation scheme based onthe decision tree. The invention further discloses a corresponding system. According to the power business collaborative classification method, information entropy and information gain calculation isadopted, and the calculation amount is relatively small, and the classification accuracy is high, and the power business collaborative classification method is applied to cooperative data calculationand analysis of services such as power outsourcing, and optimal division characteristics are selected as nodes to generate a decision-making tree and perform data classification, and classification is rapid and good in effect, and cooperative management of the services such as power outsourcing is effectively achieved.

Description

technical field [0001] The invention relates to the technical field of power system data processing, in particular to a method and system for collaborative classification of power services based on ID3 decision tree algorithm. Background technique [0002] With the construction requirements of "Ubiquitous Power Internet of Things", the country continues to accelerate the pace of development and promote the reform of the power system. my country's power supply companies have introduced advanced data technologies such as big data and artificial intelligence to build a world-class energy Internet with global competitiveness. The company's strategic deployment is escorted. [0003] In order to achieve intensive management of human resources, finance, and materials to meet the needs of new forms, power supply companies sometimes need to outsource part of their business to mobilize social resources. However, these business processes may have certain risks in terms of project appro...

AI Technical Summary

Problems solved by technology

Therefore, the original sample data is messy. If it cannot be effectively classified and evaluated, and the optimal power collaborative work plan cannot be obtained, it is likely to cause a reduction in work efficiency and benefits

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