Research Article

Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning

Table 4

Comparison of PIs obtained using OOB and OOB-KDE methods.

0.950.90.8
TSRMethodModelPICPPINAWCWCPICPPINAWCWCPICPPINAWCWC

0.2OOBRF0.8900.2971.6280.7710.1684.3940.6620.1183.835
V-SVR0.9190.0050.0160.8800.0040.0110.7700.0030.009
Rprop-ANN0.9030.7543.1960.8400.5833.1960.7460.4132.006
OOB-KDERF0.9360.4151.0040.8850.2820.6920.7920.1790.398
V-SVR0.9290.0060.0160.8980.0050.010.8200.0040.006
Rprop-ANN0.9080.7903.0480.8930.6101.3370.7820.4461.145
0.5OOBRF0.8230.1343.340.7710.1102.8770.6540.0632.487
V-SVR0.7690.0030.280.6750.0030.8350.4920.0024.419
Rprop-ANN0.7390.15330.0480.8090.3363.6050.8540.2420.305
OOB-KDERF0.8870.1821.0610.8300.1180.7970.7320.0780.505
V-SVR0.8070.0040.1470.7000.0030.4480.5100.0034.227
Rprop-ANN0.8720.4643.7250.8470.3521.6760.7940.2480.536
0.8OOBRF0.8100.1123.8210.7640.0762.3530.5500.03920.242
V-SVR0.8970.0040.0190.8240.0030.0230.7260.0030.022
Rprop-ANN0.8010.32713.8880.8110.2472.5330.6510.1817.687
OOB-KDERF0.8120.1153.7380.7670.0802.3040.6760.0501.16
V-SVR0.9160.0040.0130.8460.0030.0150.7350.0030.018
Rprop-ANN0.7500.30545.5710.8020.2453.0840.6850.1743.258