A SPATIO-TEMPORAL FORECASTING METHOD FOR DISPERSED PV PLANTS

The study proposes a novel approach based on the three-dimensional wavelet transform (3D-DWT) and the Least Square Support Vector Machines (LS-SVM) to forecast the power output of spread PV systems. The proposed forecasting method can capture the correlations of distributed PV installations providing more accurate predictions. The output power of different PV plants in Rhodes, Greece is applied to forecast the power generation of each PV system at 1, 12 and 24 hours-ahead time horizons. The accuracy is also expressed by the error metrics