Pages that link to "Item:Q1666155"

The following pages link to Short-term wind speed forecasting using support vector regression optimized by cuckoo optimization algorithm (Q1666155):

Displaying 8 items.

• Application of support vector machine model in wind power prediction based on particle swarm optimization (Q258598) (← links)
• Stochastic optimization for network-constrained power system scheduling problem (Q1666356) (← links)
• Novel chaotic bat algorithm for forecasting complex motion of floating platforms (Q1984894) (← links)
• A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm (Q1985246) (← links)
• Multi-objective algorithm for the design of prediction intervals for wind power forecasting model (Q2307201) (← links)
• Support vector regression based on grid-search method for short-term wind power forecasting (Q2336761) (← links)
• An RBF neural network combined with OLS algorithm and genetic algorithm for short-term wind power forecasting (Q2375733) (← links)
• Preliminary Research of Chaotic Characteristics and Prediction of Short-Term Wind Speed Time Series (Q4971067) (← links)