Table 15 Parameters estimated for Scenario 3 (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

1.0305

3.48E−06

1.2013

981.98

48.6428

2.57E−26

6.4861

2.4251E−03

EDO

1.0272

0.00E+00

1.1914

1839.12

9.1993

4.05E−06

49.2168

2.5866E−03

ADHHO

1.0314

0.00E+00

1.1889

916.71

23.4768

3.79E−06

48.9785

2.4770E−03

OBMPA

1.0305

2.44E−06

1.2012

983.01

48.4677

1.06E−06

49.1394

2.4256E−03

MGTO

1.0305

3.48E−06

1.2013

981.98

48.6428

0.00E+00

47.5131

2.4251E−03

IAOA

1.0294

3.62E−07

1.1628

1256.00

49.0419

4.44E−06

49.9928

2.6305E−03

HDE

1.0305

3.48E−06

1.2013

982.00

48.6428

0.00E+00

40.6739

2.4251E−03

OBGBO

1.0305

3.48E−06

1.2013

981.98

48.6428

0.00E+00

1.0000

2.4251E−03