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An Efficient Hybrid Forecasting Approach for Wind Speed Time Series
2017
International Journal of Advanced Research in Computer Science and Software Engineering
Wind forecasting is one of the best efficient ways to deal with the challenges of wind power generation. Due to the depletion of fossil fuels renewable energy sources plays a major role for the generation of power. For future management and for future utilization of power, we need to predict the wind speed. In this paper, an efficient hybrid forecasting approach with the combination of Support Vector Machine (SVM) and Artificial Neural Networks(ANN) are proposed to improve the quality of
doi:10.23956/ijarcsse.v7i9.404
fatcat:6q2fallte5ahlna4woxmjk4n7m