Wind's Data Analysis for its Accurate Prediction in Smart Grid Systems

There already existed the problem of unit commitment that became further complicated and accelerated by the use of renewable energy in smart grid systems. One of the major contributor of renewable energy is wind, because of the unpredictable nature of the wind, at different places the demand is variable at different times of the day. Therefore, it is crucial to predict wind as accurately as possible, as this will not only help researchers to optimize grid models but will also play a key role in managing demand and supply (ED)issues. This paper investigates real time wind's data for the city of Karachi Pakistan in detail, and finds approximation of polynomial (polynomial regression) that can be further used in prediction algorithms. Furthermore, R2 and norm of residual associated with each degree of polynomial is also shown for clear understanding.Limitation of polynomial regression, if all alone applied in the proposed scenario is also discussed.