A Hybrid Model for Wind Speed Prediction based on Spatial Correlation

摘要: The accurate prediction of wind speed is greatly significant for evaluating the security and economy farm which connected to grid. This paper proposed a hybrid model based on spatial correlation nonlinear state space model. Firstly, rank coefficient calculated according Coupla function used choose input data A support vector regression machine introduced build model, then obtained. Finally,experiment results some public are given, demonstrate that has higher accuracy stable performance while comparing with classical algorithm. Keywords-wind forecasting; correlation; coupla functions;