الفهرس 
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Abstract
Renewable energy resources such as wind and solar have a great influence on the country’s future planning. However, building investments for a candidate location require reliable and accurate studies. These studies, such as building models for the turbine structural, need a historical data and huge information to be gathered. Unfortunately, this data may not be existing for long period which in turn considered as a great challenge.
Generating some form of artificial or what they call it ”synthetic” patterns could provide the solution to this problem. The generated dataset would conserve the hidden information in the original dataset such that: Mean, variance, skewness, persistence, crossing properties, minimum, maximum, and correlation.
Commonly, the applied stochastic techniques that have been used to generate synthetic data gave no satisfying results. the main objective of the thesis that is proposed a new stochastic model that could extract all main probabilistic features of original dataset and hence; generate a synthetic wind dataset having the same features as the original records. After that, a MATLAB GUI would be constructed based on the proposed techniques.