عنوان مقاله [English]
Forecasting of wind parameters is necessary for proper utilization of wind energy conversion systems. In this paper, a statistical method is used for development of a new wind forecasting model. The method was previously used for development of car driving cycles and climate patterns. The method can be used in design and simulation studies of wind energy conversion systems. Wind speed and direction data originating from three different wind sites are used in this study. The original statistical method is modified to fit requirements of the new domain of application. The statistical method was verified by the hypothesis testing criteria. Also, a comparison is made between the accuracy of the developed model and those of the previous models. It is shown that the model has superior functionality comparing to other currently available methods.