VERY-SHORT TERM WIND SPEED FORECASTING VIADISTANCE ALGORITHM IN MACHINE LEARNING

This paper proposes distance matrices, Euclidean, and offset translation methods inmachine learning prediction of wind speed. The main purpose of this research is to designforecasting models for very short-term and short-term wind speed prediction based on these twomethods by using historical data on wind speed. The test data is collected at a wind power station at۱۰ minutes intervals. Furthermore, we evaluate the output in different time horizons in comparisonto the benchmark method (persistence). To ensure the output results, comparing this method withthe persistence method is essential. The proposed method performance was evaluated compared withthe conventional persistence method performance in terms of mean absolute error