基于熵权-灰色模型的电力数据网风险预测

针对当前电力数据网风险预警模型无法有效预测网络风险的现状，提出一种基于熵权-灰色模型的电力数据网风险预测机制，重点解决网络整体风险的预测问题.首先利用灰色模型对电力数据网的风险指标进行预测，确定单项风险指标值；然后采用熵权法得出每一项指标的动态权重；最后根据风险指标值和权重得出网络整体的预测风险值.仿真验证结果表明，该模型可保证动态网络下实时预测的准确度.

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

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.