Artificial Neural Networks for Wind Speed Prediction

Wind energy has become a main challenge of conventional relic fuel energy, chiefly with the flourishing operation of multi-megawatt sized wind turbines. Though, wind with sensible speed is not sufficiently sustainable all over to construct an inexpensive wind farm. The probable site has to be systematically investigated at least with respect to wind speed profile and air density. Modelling and forecast of wind speed are indispensable rudiments in the setting and sizing of wind power applications. In this study, the sketch of wind speed in Mediterrean Sea of Turkey is modelled using artificial neural network (ANN). The aim of this project work is to show that a feed forward neural network can symbolize a practical tool to cautiously monitor the wind speed output. Simulation results can be reported, showing that the estimated wind speed values can be in good concurrence with the investigational values.