Wind Power Forecasting For The Province Of Osmaniye Using Artificial Neural Network Method
Yazarlar (4)
Prof. Dr. Bülent Yanıktepe Osmaniye Korkut Ata Üniversitesi, Türkiye
Prof. Dr. Şakir TAŞDEMİR Selçuk Üniversitesi, Türkiye
Abdurrahman Burak Güher Osmaniye Korkut Ata Üniversitesi, Türkiye
Sultan Akcan
| Makale Türü |
Özgün Makale
(Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale)
|
||
| Dergi Adı | International Journal of Intelligent Systems and Applications in Engineering (IJISAE) | ||
| Dergi Tarandığı Indeksler | Engineering and Basic Sciences Database | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2016 |
| UAK Araştırma Alanları |
Yapay Zeka
|
||
| Özet |
| Although wind energy at certain intervals and random in nature, today it is one of the commonly utilized alternative energy source in the world. Because of sustainability and environmentally-friendly energy source, countries increasingly benefit from wind energy. Several estimation methods are applied in the determination of a region's wind energy potential. Today, one of the most commonly used prediction methods is artificial neural network (ANN) method. In this study, Estimation of wind power in Osmaniye district was investigated in method with artificial neural network (ANN) using data from meteorological measurement stations from the meteorological measurement device at the campus of Osmaniye Korkut ATA University. In order to give the best values of prediction results, several methods increasing the impact on output of different models for the input variables were investigated. |
| Anahtar Kelimeler |
