Random Forest-Based Approach for Maximum Power Point Tracking of Photovoltaic Systems Operating under Actual Environmental Conditions

Table 2

Training data samples.

Sample number	G from (4)	T from (5)	from (1)
1	426.988	11.170	2.103
2	654.855	43.278	4.405
3	624.986	41.217	4.128
4	51.2322	7.3070	0.170
5	726.523	33.586	4.577
6	657.228	22.346	3.753
7	821.156	25.784	4.899
8	332.130	19.744	1.712
9	191.898	21.386	0.891
10	828.676	33.751	5.268
399990	1043.98	1.6760	5.072
399991	228.114	1.0788	0.885
399992	623.211	11.358	3.207
399993	606.037	28.896	3.631
399994	225.997	24.816	1.133
399995	98.2440	42.387	0.437
399996	241.430	3.9415	0.985
399997	972.252	9.7257	5.089
399998	538.437	25.532	3.105
399999	673.546	15.412	3.624
400000	700.615	7.5407	3.510