Abstract
V-system of degree k is a new class of complete orthogonal function system in L 2 [0,1]. A wind speed forecasting method based on V-system and least square support vector machine (LSSVM) is proposed in this paper. Grouping the wind speed time series, and then using linear discrete V-system to decompose each group of data. The decomposition coefficient vectors of each group of data in frequency domain are obtained. The different LSSVM models to forecast decomposition coefficients in the same frequency band are established. The forecasting decomposition coefficient vectors are reconstructed by the inverse V-system transform to get forecasting wind speed. The simulation experiment shows the prediction accuracy is improved considerably.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.