Wind speed prediction performance based on modal decomposition method

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DOI Доступ к ресурсу на сайте издателя			10.1109/ITCA52113.2020.00158

Title: Wind speed prediction performance based on modal decomposition method
Creator: Hu, Zhichao
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Zhan, Runfeng
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Zenkova, Zhanna N.
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Wang, Yue
Date: 2020
DOI: 10.1109/ITCA52113.2020.00158
Description: As wind energy and other renewable energy sources are valued by various countries, it is very important to estimate and predict the wind energy level. The accuracy of wind energy prediction mainly depends on the accuracy of wind speed prediction. Therefore, to seek ways of improvement the accuracy of wind speed prediction has become the most important issue. In this paper, three different decomposition methods and commonly used wind speed prediction methods are used to compose the corresponding combined models, and to study which combined prediction model has higher accuracy. According to data research conducted by the National Meteorological Science Center, experiments show that the prediction accuracy of the combined prediction model using the Variational mode decomposition (VMD) method is higher than that of the combined prediction model using empirical mode decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD).