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.

			0.95			0.9			0.8
TSR	Method	Model	PICP	PINAW	CWC	PICP	PINAW	CWC	PICP	PINAW	CWC
0.2	OOB	RF	0.890	0.297	1.628	0.771	0.168	4.394	0.662	0.118	3.835
		V-SVR	0.919	0.005	0.016	0.880	0.004	0.011	0.770	0.003	0.009
		Rprop-ANN	0.903	0.754	3.196	0.840	0.583	3.196	0.746	0.413	2.006
	OOB-KDE	RF	0.936	0.415	1.004	0.885	0.282	0.692	0.792	0.179	0.398
		V-SVR	0.929	0.006	0.016	0.898	0.005	0.01	0.820	0.004	0.006
		Rprop-ANN	0.908	0.790	3.048	0.893	0.610	1.337	0.782	0.446	1.145
0.5	OOB	RF	0.823	0.134	3.34	0.771	0.110	2.877	0.654	0.063	2.487
		V-SVR	0.769	0.003	0.28	0.675	0.003	0.835	0.492	0.002	4.419
		Rprop-ANN	0.739	0.153	30.048	0.809	0.336	3.605	0.854	0.242	0.305
	OOB-KDE	RF	0.887	0.182	1.061	0.830	0.118	0.797	0.732	0.078	0.505
		V-SVR	0.807	0.004	0.147	0.700	0.003	0.448	0.510	0.003	4.227
		Rprop-ANN	0.872	0.464	3.725	0.847	0.352	1.676	0.794	0.248	0.536
0.8	OOB	RF	0.810	0.112	3.821	0.764	0.076	2.353	0.550	0.039	20.242
		V-SVR	0.897	0.004	0.019	0.824	0.003	0.023	0.726	0.003	0.022
		Rprop-ANN	0.801	0.327	13.888	0.811	0.247	2.533	0.651	0.181	7.687
	OOB-KDE	RF	0.812	0.115	3.738	0.767	0.080	2.304	0.676	0.050	1.16
		V-SVR	0.916	0.004	0.013	0.846	0.003	0.015	0.735	0.003	0.018
		Rprop-ANN	0.750	0.305	45.571	0.802	0.245	3.084	0.685	0.174	3.258