Wind speed time series forecasting method in wind farm based on EEMD

Abstract The article described the relevant knowledge of wind speed prediction and verification method forecast. First, characteristics are general analyzed. Through form wind, frequency shear turbulence it was found that had instability non-linear characteristics. By analysing basic principles three methods included time series, neural network empirical mode decomposition, series proposed. On basis this method, applied to a raw factory simulated reality by Matlab. Compared predictive conclusion with original data, gained higher accuracy verified efficiency method.