Table 5 Comparative outcomes of all models of different comparative models with 180 participating clients.

From: Optimizing electric load forecasting with support vector regression/LSTM optimized by flexible Gorilla troops algorithm and neural networks a case study

 

RMSE

MAPE

Method

Max

Min

Mean

Max

Min

Mean

SVR 28

0.986

0.315

0.745

65.52%

19.95%

47.46%

LSTM 29

0.709

0.296

0.384

63.41%

17.39%

44.06%

NN/GSOA 30

0.691

0.135

0.286

61.85%

15.96%

45.85%

SVR/LSTM 31

0.685

0.157

0.257

59.46%

16.32%

43.57%

VMD/ELM/DE 32

0.635

0.205

0.255

57.73%

14.29%

42.36%

SVR/LSTM/FGTO

0.627

0.194

0.241

54.46%

13.10%

40.79%

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