Table 9 Parameters estimated for Scenario 2 (SDM).

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

Algorithms

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

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

\({R}_{se}\)(Ω)

\({R}_{sh}\)(Ω)

\(n\)

RMSE

OBEDO

0.10016

1.85E−12

0.6777

519.07

1.5691

2.4818E−04

EDO

0.10039

3.75E−10

0.5173

623.65

1.9985

7.5916E−04

ADHHO

0.10034

5.91E−13

0.6982

394.73

1.5000

3.2683E−04

OBMPA

0.11376

0.00E+00

0.0000

14.59

1.0000

2.5400E−02

MGTO

0.10005

4.73E−12

0.6553

637.38

1.6309

2.2951E−04

IAOA

0.11377

0.00E+00

0.0000

14.59

1.1265

2.5400E−02

HDE

0.09996

4.59E−11

0.5954

998.48

1.8029

3.9734E−04

OBGBO

0.09986

8.34E−12

0.6428

925.40

1.6706

2.5694E−04

  1. Significant values are in [bold].