电力系统保护与控制2016，Vol.44Issue(24)：82-89,8.DOI:10.7667/PSPC152144
基于改进随机森林算法的电力业务实时流量分类方法
A method of real-time traffic classification in secure access of the power enterprise based on improved random forest algorithm
许勇刚 1张建业 2龚小刚 3姜珂 4周欢 4殷继英5
作者信息
- 1. 北京中电普华信息技术有限公司，北京 100085
- 2. 国网新疆电力公司，新疆 乌鲁木齐 830018
- 3. 国网浙江电力公司，浙江 杭州 310007
- 4. 华北电力大学控制与计算机工程学院，北京 102206
- 5. 国家开发投资公司，北京 100034
- 折叠
摘要
Abstract
This paper aims to classify the growing number of real-time traffic during the secure access process of the power business system more effectively and to improve the speed of business processing of the power system. A real-time traffic classification method of the power business based on improved random forests algorithm is proposed. On the basis of analyzing characteristics of real-time traffic in secure access of the power business, traditional random forests algorithm is improved. This paper prunes random forests based on margin weight to improve real-time performance of classification and does data-editing for the new sample data to improve accuracy performance of classification. Based on this improved algorithm, a process of real-time traffic classification in secure access of the power business is designed. At last, an instance of a province’s real-time traffic classification in secure access of the power enterprise is used to validate the feasibility and efficiency of the method proposed.关键词
随机森林/数据剪辑/分类间隔/电力业务/流量分类Key words
random forests/data editing/classification margin/power business/traffic classification引用本文复制引用
许勇刚,张建业,龚小刚,姜珂,周欢,殷继英..基于改进随机森林算法的电力业务实时流量分类方法[J].电力系统保护与控制,2016,44(24):82-89,8.
