Risk Prediction of Power Data Network Based on Entropy Weight-Gray Model

doi:10.13190/j.jbupt.2017-125

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Risk Prediction of Power Data Network Based on Entropy Weight-Gray Model

LI Wen-jing¹, LI Meng¹, XING Ning-zhe², JI Yu-tong², ZENG Xiang-jian¹

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. State Grid Jibei Electric Power Company Limited Information & Communication Dispatch, Beijing 100053, China

Received:2017-06-30 Online:2018-06-28 Published:2018-06-28

Abstract

Abstract: 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.

Key words: gray prediction, entropy method, risk warning, power data network

CLC Number:

TN919.2

LI Wen-jing, LI Meng, XING Ning-zhe, JI Yu-tong, ZENG Xiang-jian. Risk Prediction of Power Data Network Based on Entropy Weight-Gray Model[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, doi: 10.13190/j.jbupt.2017-125.

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Risk Prediction of Power Data Network Based on Entropy Weight-Gray Model

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