Table 4 Prediction errors under different data volumes and training sets.

From: Voltage abnormity prediction method of lithium-ion energy storage power station using informer based on Bayesian optimization

Sampling time interval (min)

RMSE (mV)

MSE (mV)

MAE (mV)

25%

50%

75%

25%

50%

75%

25%

50%

75%

2

665.564

73.528

122.902

442.975

5.406

15.105

299.985

52.203

102.575

3

973.224

55.315

71.049

947.165

3.060

5.048

465.599

39.412

58.475

4

513.987

62.747

64.357

264.183

3.937

4.142

233.853

30.997

36.689

5

806.449

119.320

192.711

650.360

14.237

37.138

368.205

45.600

60.414

6

895.651

129.533

134.876

802.192

16.779

18.192

404.422

74.965

107.681

7

973.719

210.884

240.539

948.129

44.472

57.859

443.721

104.396

162.742