**3. Results and Discussion**

In order to properly evaluate the performance of GDAS numerical data when coupled with an ANN model for predicting the power generation of a PV system, both the input weather and the output power variables are analysed. First, input values from the GDAS dataset are compared with those of the monitoring dataset, for both temperature and solar irradiation inputs. Then, PV power predictions obtained from the ANN model under the three training and testing scenarios are compared with the real PV measurements taken from the monitoring dataset.
