@article{article_315824, title={Estimating Wind Energy Potential by Artificial Neural Networks Method}, journal={Bilge International Journal of Science and Technology Research}, volume={1}, pages={23–31}, year={2017}, author={Şenol, Ümit and Musayev, Zabit}, keywords={Wind energy,Wind power plants,Wind speed,Artificial neural network}, abstract={<p class="MsoNormal" style="text-align:justify;"> <span style="font-family:’Times New Roman’, serif;">In this
study, wind energy potential estimation is made by creating various wind
turbines and artificial neural networks (YSA) models. The wind speed data to be
used in the model was used during the test phase, while the output powers from
different types of wind turbines were used during the training phase. It has
been understood that the predictions made by the model created in the
regression curves that emerged after the application are reliable and
consistent. According to the estimation results, it is seen that the selected
zone has very good wind potential and high quality energy production can be
achieved with high quality turbines. Moreover, it has been revealed that YSA
can easily use alternatives in wind energy applications in the days when the
electricity energy needs of the people in the energy sector and the decision
makers are constantly increasing. </span> <span style="font-family:’Times New Roman’, serif;">  </span> </p> <p> </p>}, number={1}, publisher={Kutbilge Akademisyenler Derneği}