In the first part of my degree work I present the known methods of wind power scheduling today. After introducing the base of forecasting, Numerical Weather Prediction (NWP), I go ahead with the statistical approach of power scheduling. I describe the operation of Wind Power Prediction Tool (WPPT) which is developed in Denmark. After that I deal with the german Artifical Neural Networks and the method of Fuzzy Logic developed in France. After the oppurtinities of statistical approach I get on to the subject of models using physical approach, like Numerical Simulations or Diagnostic Models. Then, in the next chapter I descibe a german wind power forecasting diagnostic model, Previento, developed by the University of Oldenburg.
After the review of known forecating models, in the second part of my degree work, I make the examination of statistical wind power scheduling on a site of West Hungary. I compare the predicted and measured monthly data series of the wind park of Mosonszolnok from the year 2008. During the task I examine the predictions of OMSZ, Meteológica and the Schedule of the company. I compare the predicted data series to the real measured ones and the characteristic of the wind turbines given in the product catalogue.
I finished my degree work with the conclusion of this task.