Risk Index Early-warning of Smart Grid Based on Neural Network

In this paper, we first analyze and compare the common risk index forecasting methods, compare the advantages and disadvantages of various risk index forecasting methods, and combine the actual situation of intelligent grid Risk index to select the LVQ neural network prediction method as the risk index prediction method of this system. According to the actual demand of risk index system, an early warning index system is established, and the data of the early warning model are mainly used in Jilin City, and the method is validated and analyzed with the correlation degree of index. The experimental results show that the LVQ Neural network algorithm has achieved more excellent results.