SHORT-TERM FORECASTING OF WIND SPEED IN VIETNAM USING A STATISTICAL MODEL

Abstract

This article proposes an Autoregressive Integrated Moving Average time
series model following Box-Jenkins method for a wind speed prediction. The
model is based on the historical data measured at Phuoc The, Binh Thuan
province from 0:00 am to 11:50 pm daily in one year. With the horizon of
forecast sample of 20 predictions, it is found that early forecasts yielded good
results when being verified by mean absolute error and root-mean-square
error criteria.