Abstract
Abstract:
The stability and availability required on the
electrical power systems with wind sources are directly related to
the accuracy of a short-term forecasting wind speed model. This
paper presents a wind speed forecasting model based on one of
the widely used time-series regression models, namely the Auto-
Regressive Integrated Moving-Average (ARIMA). The method
requires historical wind speed data for a given area, collected
over a long time interval, in order to evaluate the required
parameters of the wind speed ARIMA model.