Table 6 The evaluation indices of the mlas models for sudden variation.

From: Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons

MLA

Execution time (sec)

RMSE

AE

RE (%)

RRSE

NAE

R (%)

LR

1

0.018

0.012

3.79

0.068

0.053

99.98

PR

45

0.134

0.094

28.8

0.496

0.418

88

GBT

2

0.102

0.087

29.97

0.378

0.386

99.9

RF

19

0.017

0.012

3.98

0.064

0.055

99.8

DT

1

0.019

0.013

4.63

0.069

0.058

99.8

NN

5

0.017

0.012

3.61

0.061

0.055

99.8

DL

16

0.019

0.014

4.27

0.07

0.06

99.8

K-NN

29

0.023

0.016

5.39

0.084

0.073

99.7

SVM

73

0.063

0.044

11.4

0.067

0.056

99.8