The Fuzzy Neural Network Model of Smart Grid Risk Evaluation Based on Bayes

被引：3
|
作者：
Li Yanmei [1 ]
Wang Jingmmin [2 ]
Li Shuangtao [3 ]
机构：
[1] North China Elect Power Univ, Sch Business & Adm, Baoding, Peoples R China
[2] North China Elect Power Univ, Sch Business & Adm, Baoding, Peoples R China
[3] State Grid Int Dev Ltd, Beijing, Peoples R China
来源：
JOURNAL OF COMPUTERS | 2011年 / 6卷 / 01期
关键词：
smart grid; Bayes; Fuzzy; neural network;
D O I：
10.4304/jcp.6.1.90-97
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Deceloping smart grid has been a new trend of all countries in the world. The smart grid will face risks in the future because of some uncertain factors, at present the risks are centered in technology, management, decisionmaking, operation and marketing etc. The paper firstly sets up classification index system about strong smart grid of our country, uses Bayes to reduce indexes and then combines fuzzy comprehensive evaluation and neural network model to compute the index system, which can help us to confirm the risk level and offer eference foundation for related departments.
引用
收藏
页码：90 / 97
页数：8
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