Wind Speed Prediction Based on Seasonal ARIMA model

Major dependency on fossil energy resources and emission of greenhouse gases are common problems that have a very harmful impact human communities. Thus, the use renewable resources, such as wind power, has become strong alternative to solve this problem. Nevertheless, because intermittence unpredictability energy, an accurate speed forecasting is challenging research subject. This paper addresses short-term based Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The performances model were conducted using same dataset under different evaluation metrics in terms Root Mean Square Error (RMSE) Absolute Percentage (MAPE) performance metrics. obtained results denote used achieves excellent accuracy.