Wind Power Forecasting For The Province Of Osmaniye Using Artificial Neural Network Method

Year 2016, Volume: 4 Issue: Special Issue-1, 114 - 117, 26.12.2016

Bulent Yanıktepe , SAKIR Tasdemır , A. BURAK Guher , Sultan Akcan

Abstract

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. 

Keywords

Wind Power, Prediction, Artificial Neuron Network

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