%0 Journal Article
%A JI Yu-tong
%A LI Meng
%A LI Wen-jing
%A XING Ning-zhe
%A ZENG Xiang-jian
%T Risk Prediction of Power Data Network Based on Entropy Weight-Gray Model
%D 2018
%R 10.13190/j.jbupt.2017-125
%J Journal of Beijing University of Posts and Telecommunications
%P 39-45
%V 41
%N 3
%X Aiming at the present situation that risk prediction model of power data network cannot effectively predict the risk, a risk prediction mechanism of power data network based on entropy weight-gray model is proposed. This paper focuses on risk prediction of the entire network. Firstly, the gray model is used to predict the risk indexes of power data network, and the individual risk index value is determined. Then, the dynamic weight of each index is obtained by entropy weight method. Finally, it can calculate the risk value of the network according to the risk index value and the weight. The simulation results show that the proposed model can guarantee predictive accuracy of dynamic real-time network.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017-125