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Table 3 Results of best forecasting with the long short-term memory (LSTM) model

From: A hybrid econometrics and machine learning based modeling of realized volatility of natural gas

Number of layers

Neurons per layer

Number of lags

Window size

Q

Obs

Perc (%)

Q

Obs

Perc (%)

Q

Obs

Perc (%)

L

Obs

Perc (%)

1

66

26.2

20

23

9.1

28

51

20.2

700

109

43.3

2

111

44.0

40

36

14.3

30

138

54.8

1000

42

16.7

3

36

14.3

60

13

5.2

37

63

25.0

1400

23

9.1

4

39

15.5

100

27

10.7

   

2100

78

31.0

   

150

153

60.7

      
  1. Q is the number of layers, neurons per layer, and lags. L is the length of the windows to train. Obs is the days when the LSTM was the best model with this configuration