Research of Wind Power Prediction Model Based on RBF Neural Network

In this paper, we research on the wind power prediction method to identify a viable and stable way of predictive modeling applications, namely neural network modeling method. After giving the analysis of wind power generation characteristics, we find the most important impact factor of wind power by the grey relational method. With RBF neural network and actual monitoring data as sample data, finally we design and implement of wind power prediction system, which has a certain practical value.