The Artificial Neural Networks in the wind energy industry

The purpose of this book is to show the different prediction possibilities in wind speed by using the artificial neural network for the time shift wind speed prediction using Matlab program. Additionally using the WASP program for sizing a suggested wind farm and do the prediction possibilities horizontally and vertically. Also the steps for sizing the suggested wind speed prediction tool were included. And the pre-steps to be done for the input data before processed by the proposed ANN tool. An error calculation was also carried out in order to evaluate the performance of the suggested ANN prediction tool and to show the improvement of errors with the different approaches. The best root square error was /0.0505/. Information about wind data were obtained by the help of the Syrian research center. A complete 100 [MW] wind farm module was studied using the WASP program, with the help of ¿Grid integration of Al Haijana Wind Park¿ study [ ]. V90 turbine from Vestas was selected for this wind farm. A detailed study for the awake effect was done using the WASP program.