الفهرس | Only 14 pages are availabe for public view |
Abstract Forecasting wind and solar behaviors (e.g., wind speed and global solar radiation) is importantfor energy managers and electricity traders. Moreover, the scientific prediction methods for renewable energy can improve the reliability and efficiency of the renewable power generation units. In the last few years, Support Vector Regression (SVR) has been applied to forecast the renewable energy. The performance and stability of SVR depend on their meta-parameters |