Journal of Modeling and Simulation in Electrical and Electronics Engineering

Journal of Modeling and Simulation in Electrical and Electronics Engineering

Very-Short Term Wind Speed Forecasting Via Distance Algorithm in Machine Learning

Document Type : Research Article

Authors
Department of Electrical Engineering, Bahcesehir University, Istanbul, Turkey.
Abstract
This paper proposes distance matrices, Euclidean, and offset translation methods in machine learning prediction of wind speed. The primary aim for this research is to design forecasting models for very short-term and short-term wind speed prediction based on these two methods by using historical data on wind speed. The test data is collected at a wind power station at 10 minutes intervals. Furthermore, we evaluate the output in different time horizons in comparison to the benchmark method (persistence). To ensure the output results, comparing this method with the persistence method is essential. The proposed method performance was evaluated and compared with the conventional persistence method performance in terms of mean absolute error.
Keywords
Subjects

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  • Receive Date 30 October 2022
  • Revise Date 16 January 2023
  • Accept Date 16 July 2023