¹School of Business and Administration, North China Electric Power University Baoding, China
²State Grid International Development Limited, Beijing, China

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Abstract—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.

Index Terms—smart grid; Bayes; Fuzzy; neural network

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Cite: Li Yanmei, Wang Jingmmin, Li Shuangtao, "The Fuzzy Neural Network Model of Smart Grid Risk Evaluation Based on Bayes," Journal of Computers vol. 6, no. 1, pp. 90-97, 2011.