Wind speed prediction based on Tsukamoto Fuzzy Logic Model with harmony search

Abstract

In this paper, a Tsukamoto Fuzzy Model with Harmony Search is proposed and developed to predict wind speed. The data used in this  study were obtained from a meteorological station unit of the International Institute of Tropical Agriculture (IITA) located at Tarauni,  Kano State for a period of one year and used for the training and testing of the model. The Harmony search algorithm was applied to  estimate the fuzzy parameters. The predicted values were compared with the observed wind speed and the effectiveness of the model  was judged based on absolute and relative error. The maximum absolute and relative errors obtained in the proposed approach were 0.  52 and 0.11 respectively.