现代电子技术2017，Vol.40Issue(7)：159-162,166,5.DOI:10.16652/j.issn.1004-373x.2017.07.042
基于EEMD技术在电力信息安全中的多步时间序列预测方法
Multi-step time series prediction method based on EEMD technology in electric power information security
于烨 1柴育峰 1康乐 1郭景维 1张波1
作者信息
- 1. 国网宁夏电力公司 信息通信公司,宁夏 银川 750000
- 折叠
摘要
Abstract
According to the data characteristics of the user access path,a multi-step time series prediction model based on ensemble empirical mode decomposition (EEMD) technology is proposed. The model uses the EEMD combining with the ex-treme learning machine(ELM)model,and optimization method of the hybrid artificial fish swarm algorithm to overcome the con-straint problems of the over-fitting and multi-step time series prediction strategy existing in the algorithm. The time series multi-step prediction of the access path was implemented with the model,and the intrusion behavior can be found in advance in com-bination with the envelope line of the safety range. The verification results show that the optimized EEMD-ELM model has higher iteration rate and accuracy than those of the traditional time series prediction methods,its generalization ability is enhanced, and the effectiveness and feasibility of this method was illustrated.关键词
势态感知/集合经验模态/极限学习机/混合人工鱼群/多步时间序列预测Key words
situation awareness/ensemble empirical mode/extreme learning machine/hybrid artificial fish swarm/multi-step time series prediction分类
信息技术与安全科学引用本文复制引用
于烨,柴育峰,康乐,郭景维,张波..基于EEMD技术在电力信息安全中的多步时间序列预测方法[J].现代电子技术,2017,40(7):159-162,166,5.
