Table 5 Parameters estimated for Scenario 1 (DDM).

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

Algorithms

\({I}_{ph}\)(A)

\({I}_{sd1}\)(A)

\({R}_{se}\)(Ω)

\({R}_{sh}\)(Ω)

\({n}_{1}\)

\({I}_{sd2}\)(A)

\({n}_{2}\)

RMSE

OBEDO

0.7608

2.31E−07

0.0367

55.3995

1.4529

7.08E−07

2.0000

9.8250E−04

EDO

0.7630

8.76E−08

0.0344

38.5036

1.4050

8.51E−07

1.7015

2.3699E−03

ADHHO

0.7608

1.20E−13

0.0366

52.3503

1.5000

3.07E−07

1.4760

9.9082E−04

OBMPA

0.7602

1.95E−07

0.0349

79.9286

1.4771

3.63E−07

1.6015

1.3081E−03

MGTO

0.7608

2.31E−07

0.0367

55.3762

1.4530

7.04E−07

2.0000

9.8250E−04

IAOA

0.7611

3.26E−07

0.0341

61.8652

1.6646

3.09E−07

1.4993

1.5329E−03

HDE

0.7608

3.22E−07

0.0363

54.0502

1.4812

4.06E−08

2.0000

9.8650E−04

OBGBO

0.7608

3.21E−07

0.0364

53.7417

1.4806

1.08E−08

1.8916

9.8593E−04

  1. Significant values are in [bold].
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