Research Article

Estimating Solar Insolation and Power Generation of Photovoltaic Systems Using Previous Day Weather Data

Table 5

Accuracies of predicted value ranges according to the input variables, NHN, and NHL.

Input variablesNumber of hidden layersRMSE (kWh/m2/day)MBE (kWh/m2/day)MAE (kWh/m2/day)NSE

Thigh, Tlow, RH, DWS, PR, PD, SD, CSD, CC11.764–2.000−0.891 to −0.7871.368–1.529−0.503 to −0.169
21.763–2.023−0.811 to −0.6491.355–1.552−0.920 to −0.210
31.760–2.015−0.840 to −0.5681.373–1.506−1.092 to −0.164
41.799–2.015−0.903 to −0.7111.382–1.559−0.937 to −0.216
51.793–2.102−0.853 to −0.5891.366–1.631−1.068 to −0.207

Thigh, Tlow, RH, DWS, SD, CSD, CC11.975–2.227−1.301 to −0.9691.515–1.692−0.292 to −0.016
21.975–2.138−1.076 to −0.7141.550–1.635−0.162 to −0.016
31.792–2.318−1.221 to −0.5671.432–1.773−0.391 to 0.164
41.889–2.187−1.005 to −0.5471.436–1.632−0.245 to 0.071
51.807–2.338−1.227 to −0.4191.444–1.773−0.423 to 0.150

Thigh, Tlow, RH, DWS, SD, CSD11.425–1.506−0.272 to −0.1291.157–1.2040.411–0.473
21.423–1.597−0.400 to −0.0901.131–1.2970.337–0.474
31.421–1.660−0.376 to −0.1141.131–1.3420.284–0.482
41.444–1.692−0.464 to −0.1211.148–1.3720.256–0.458
51.450–1.720−0.291 to −0.1181.153–1.405−0.338 to 0.454

The NHN for each layer was conducted by changing both to 10–20.a