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Table 3 Accuracy of pseudo measurements of PV output and active load under different models

From: Distribution network state estimation based on attention-enhanced recurrent neural network pseudo-measurement modeling

Models

PV1

PV2

Load1

Load2

PV1

PV2

Load1

Load2

RMSE (×10−1 kW)

ESS (×10−3 kW)

GBDT

0.621

0.123

1.390

1.313

2.02

0.41

3.55

3.27

RF

0.606

0.119

1.378

1.319

1.73

0.34

3.41

3.27

BPNN

0.540

0.110

1.361

1.245

1.56

0.29

3.17

3.19

TRNN

0.490

0.104

1.332

1.231

1.47

0.27

3.05

3.11

LSTM

0.478

0.098

1.317

1.226

1.42

0.25

2.95

3.06

GRU

0.479

0.101

1.316

1.228

1.41

0.24

2.89

3.07

A-TRNN-PC

0.480

0.096

1.308

1.092

1.35

0.23

2.77

2.75

A-LSTM-PC

0.470

0.091

1.269

1.076

1.31

0.20

2.71

2.71

A-GRU-PC

0.471

0.090

1.272

1.075

1.33

0.20

2.73

2.71