Pages that link to "Item:Q2336761"

The following pages link to Support vector regression based on grid-search method for short-term wind power forecasting (Q2336761):

Displaying 8 items.

• Application of support vector machine model in wind power prediction based on particle swarm optimization (Q258598) (← links)
• Noise model based \(\nu\)-support vector regression with its application to short-term wind speed forecasting (Q889277) (← links)
• Short-term wind speed forecasting using support vector regression optimized by cuckoo optimization algorithm (Q1666155) (← links)
• Support vector regression inverse system control for small wind turbine MPPT with parameters' robustness improvement (Q2084513) (← links)
• A short-term wind power forecasting method based on hybrid-kernel least-squares support vector machine (Q2095985) (← links)
• Multi-objective algorithm for the design of prediction intervals for wind power forecasting model (Q2307201) (← links)
• An RBF neural network combined with OLS algorithm and genetic algorithm for short-term wind power forecasting (Q2375733) (← links)
• Grid Resource Prediction based on Support Vector Regression and Simulated Annealing Algorithms (Q3070504) (← links)