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A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

Gaussian Process RegressionMeteorologyForecasting MethodologyEngineeringLeast Square SvmRobust ModelingExtreme Learning MachinePredictive AnalyticsSystems EngineeringForecastingWind Turbine ModelingIntelligent Forecasting