Mycielski Approach for Synthetic Wind Speed Data Generation

Abstract

In this paper, a novel Mycielski based approach for wind speed data generation is developed and presented. The efficincy of the proposed approach is tested using hourly wind speed data obtained from Izmir region. To test the efficiecy of the approach, the four year-long measured data are seperarted into two parts: data belonging to first three years are used for training whereas the remaining one-year data are used for testing and accuracy comparison purposes. In order to compare the efficiency of the proposed generation method, the same data are used in artificial wind speed generation with the classical method of first order Markov chains. Results indicate that the proposed Mycielski based algorithm produces better quality artificial data as compared to previous methods.