الفهرس 
IntroductionOnly 14 pages are availabe for public view
 |  | from | 32 |  |  |
| | | from | 32 | | |
Abstract
More growth in wind power generation, which was founded in Egypt in the coming years, the importance of wind power prediction has highlighted. However, wind power is very difficult for the modelling and forecasting. Despite the research in the field carried out, the prediction methods more efficient wind energy are sued. In this work two methods for predicting the generation of electricity from wind power are presented. The first method is the use the artificial neural network for predicting the energy production in the next database entry 10 minutes predicting wind speed meteorological authorities. The second method is the use of poly setting function for the wind power regression using the MATLAB program for the Zafarana site. For optimal management strategy generating capacity credit will be used in the future by the selected prediction methods for wind energy-Gabal El-Zeit wind farm site.
One of the most important economic benefits of wind energy is that it reduces the exposure of our economies to the volatility of fuel prices. This advantage is so great that simply could justify a higher proportion of wind energy in many countries. Governments need to correct market failures arising from external effects, since the costs and benefits of a home or a company buy or sells on the market of the costs and benefits for society are.
One of the main aims of this study is to compare between Zafarana site and Ras Ghareb site from an economic and technical point of view. It is generally known that there national plans for adding new units to the existing network of wind energy. The calculation for both locations performed lending capacity will be decisive for the final selection.