Table 26 Statistical performance comparison.

From: Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm

Scenario

Models

FRT Values

OBEDO

EDO

ADHHO

OBMPA

MGTO

IAOA

HDE

OBGBO

1

SDM

1.10

7.00

6.10

5.40

1.90

7.30

4.20

3.00

DDM

1.90

7.70

5.70

5.50

2.10

6.80

3.90

2.40

TDM

1.60

6.40

5.90

4.80

2.50

7.40

4.70

2.70

2

SDM

1.80

6.40

4.10

5.75

2.70

7.80

4.35

3.10

DDM

2.20

6.10

3.40

6.00

4.95

5.90

5.30

2.15

TDM

2.50

7.30

5.60

5.40

2.00

5.60

4.70

2.90

3

SDM

1.00

7.50

6.70

5.00

2.90

6.50

3.20

3.20

DDM

1.60

7.30

6.20

4.50

4.30

6.10

3.50

2.50

TDM

1.20

7.50

6.30

3.80

4.80

5.60

3.70

3.10

4

SDM

1.20

6.20

6.40

5.60

2.60

7.00

4.60

2.40

5

25 °C

1.00

6.40

6.80

5.80

3.00

6.60

4.40

2.00

40 °C

1.00

7.40

6.40

4.60

2.60

7.20

4.40

2.40

60 °C

1.40

7.00

6.40

4.80

1.80

7.60

4.20

2.80

1000W/m2

1.00

7.00

6.60

5.80

3.00

6.60

4.00

2.00

800W/m2

1.00

6.20

6.20

5.80

2.80

7.80

4.00

2.20

600W/m2

1.00

6.60

4.80

5.60

3.00

8.00

4.80

2.20

400W/m2

1.00

7.20

6.00

5.20

2.00

7.60

4.00

3.00

200W/m2

1.40

7.40

5.80

5.20

1.60

7.60

4.00

3.00

Mean FRT

1.38

6.92

5.86

5.25

2.81

6.94

4.22

2.61

Rank

1

7

6

5

3

8

4

2

  1. Significant values are in [bold].