Use of Multilinear Adaptive Regression Splines and numerical weather prediction to forecast the power output of a PV plant in Borkum, Germany

The results indicated that the forecasted power obtained by the model exhibited a high correlation with the measured data and relatively low errors despite the limited number of features that were included in the model and a low number of training samples.