USING ARTIFICIAL NEURAL NETWORKS FOR FORCASTING WIND SPEED CHANGES IN THE CITY OF KERMAN

Abstract

Abstract. Nowadays, taking advantage of renewable energies has increased in order to produce electric energy. Wind energy is one of renewable energies which has been the center of attention in industrial communities. Correct wind –speed forecast has a considerable number of applications in military and civilian affairs for air traffic control, missile , and ship navigation .Furthermore, forecasting wind-speed changes has also become important due to controlling appropriate reactions in wind turbines in order to prevent sudden shocks and take advantage of maximum capacity of wind turbines .According to inevitable role of wind energy in the future, the capability to predict this energy can play a noticeable role on related predictions of production or electricity energy buying and selling as a result of substantial effect on energy final price .In this study , considering one-year collected data of wind speed and temperature in one meteorology station in Kerman, one applied model has been recommended for forecasting wind speed using artificial neural network.