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Table 1 Results from the independent samples Welch’s t-test for both grids. Shown are the t-statistics and the corresponding degree of freedom (df). Reported p-values were Bonferroni-corrected. Combinations missing in this table were significant with p<.001 for both grids

From: Evaluating different machine learning techniques as surrogate for low voltage grids

  

CIGRE LV

 

LV-rural3

 

Model A

Model B

df

t

df

t

Sim

RE LR

10.4

56.81***

2.0

25.54*

Sim

RE RF

16.7

-78.38***

2.1

-13.03

Sim

RC LR

11.2

60.83***

2.0

26.32*

Sim

k-NN

11.2

63.75***

2.0

26.02*

Sim

ANN

9.7

64.04***

2.0

27.77*

Sim

LSTM

10.4

1.38

2.0

27.58*

RE LR

RC LR

17.3

11.94***

3.8

17.25**

RE LR

k-NN

17.3

18.78***

2.2

13.02

RE LR

LSTM

18.0

-143.72***

2.6

53.87**

RC LR

k-NN

18.0

6.23***

2.2

-10.71

RC LR

ANN

14.5

2.22

3.9

40.01***

k-NN

ANN

14.5

-5.40**

2.3

72.84**

ANN

LSTM

16.4

-183.52***

3.2

-7.44

  1. *** p<.001
  2. ** p<.01
  3. * p<.05