Regression Model to Predict Global Solar Irradiance in Malaysia

Table 6

Comparison of PM performance with existing global solar irradiance models.

Number	Model	RMSE (%)	MBE (%)
1	El-Metwally [10]	6.000	0.1000	NaN
2	Badescu [11]	5.000	4.000	NaN
3	Almorox et al. [12]	2.141	0.1210	0.874
4	Zhao et al. [7]	1.960		0.920
5	Liu and Scott [14]	1.740	NaN	0.859
6	Khorasanizadeh and Mohammadi [15]	NaN	NaN	0.996
7	Shavalipour et al. [16]	5.203	0.4400	NaN
8	Liu and Scott [14]	1.740	NaN	0.818
9	Masral et al. [18]	2.418	NaN	0.966
10	Li et al. [22]	1.647	1.286	0.929
11	Pandey and Soupir [23]	16.000	16.000	0.990
12	Vakili et al. [24]	1.000	NaN	0.980
13	Koca et al. [25]	3.580	NaN	0.997
14	Almorox et al. [26]	2.709		0.895
15	Polo [27]	11.100		NaN
16	PM1	1.774	0.3540	0.950
17	PM2	0.699		0.992
18	PM3	1.057		0.982
19	PM4	0.421	0.0001	0.997
20	PM5	1.912	0.1089	0.942
21	PM6	0.839	0.3620	0.989
22	PM7	0.972		0.985
23	PM8	1.743	0.6025	0.952
24	PM9	1.549	0.3090	0.962
25	PM10	1.213	0.2679	0.977
26	PM11	2.0228	0.4691	0.9354
27	PM12	0.8561	0.2822	0.9884