A Gaussian process regression based hybrid approach for short-term wind speed prediction

•A novel hybrid approach is proposed for short-term wind speed prediction.•This method combines the parametric AR model with the non-parametric GPR model.•The relative importance of different inputs is considered.•Different types of covariance functions are considered and combined.•It can provide both accurate point forecasts and satisfactory prediction intervals.