Application of artificial neural network for long term wind speed prediction

Abstract

This paper introduces artificial neural network (ANN) for long term wind speed prediction. The online available dataset of 26 cities from NASA are used to evaluate the performance of ANN model. Data of 22 cities are used for training the neural network and remaining 4 cities data samples are used for testing purpose. Air temperature, earth temperature, relative humidity, daily solar radiation, elevation, latitude, heating degree days, cooling degree days, frost days, longitude and atmospheric pressure are used as input variables. Artificial neural network is trained multiple times with different number of hidden neurons to forecast accurate wind speed. The efficiency of proposed model is validated by predicting wind speed for 39 locations in Maharashtra.