Forecasting of wind speed by means of window-shifted autoregressive time series

Renewable energy sources, especially wind power generation, have a core role in the smart-grid electricity networks. In this paper, an iterative autoregressive time series model is proposed in order to forecast wind speed. Window-shifted scheme was employed to improve the capability of the proposed method. The measured data and the model output data were compared based on their power density spectrum. According to the results, the model forecasts the wind speeds within the 95% confidence bounds.