Journal
INNOVATIONS IN INFRASTRUCTURE
Volume 757, Issue -, Pages 501-511Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-981-13-1966-2_45
Keywords
Wind forecasting; Support Vector Regression (SVR); Least Square Support Vector Regression (LS-SVR); Twin support vector regression (TSVR); epsilon-Twin Support Vector Regression (epsilon-TVSR)
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Accurate wind prediction plays an important role in grid integration. In this paper, we analyze the performance of a hybrid forecasting method comprising of wavelet transform and different variants of Support Vector Regression (SVR) like epsilon-SVR, Least Square Support Vector Regression (LS-SVR), Twin Support Vector Regression (TSVR) and epsilon-Twin Support Vector Regression (epsilon-TSVR). Each of these methods is trained and tested for a wind farm Sotavento, Galicia, Spain. Wavelet transform is used to filter the raw wind speed data from any kind of stochastic volatility. Among the different variants of SVR, the forecasting results of e-TSVR and TSVR are compared with e-SVR and LS-SVR to evaluate various quantitative measures like RMSE, MAE, SSR/SST and SSE/SST.
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