Multivariate Linear Wind Speed Forecast Method Based on the SSA and WRF Model

Abstract

Nowadays, wind power has occupied the position that cannot be ignored in the electric power development. However, the accuracy of the wind speed forecast is very important for wind power generation. For proper and efficient forecast of wind speed, a novel model named WRF-SSA-MLR, which was combined by Weather Reseacher Forecast (WRF), Singular Spectrum Analysis (SSA) and Multiple Linear Regression (MLR), was proposed to predict the wind speed. The proposed model achieves 0.1318 to 7.9170 in the root mean square error (RMSE) compared to real wind speed values. For wind speed forecast, it could be a promising candidate for improving the prediction accuracy.