Table 4 Comparing ODEFormer with RNN series models.

DCRNN

18.18

30.31

18.91

24.70

38.12

17.12

25.30

38.58

11.66

17.86

27.83

11.45

LSTM

21.33

35.11

23.33

27.14

41.59

18.20

29.98

45.84

13.20

22.20

34.06

14.20

EnhanceNet

16.05

28.33

15.83

20.44

32.37

13.58

21.87

35.57

9.13

16.33

25.46

10.39

ST-WA

15.17

26.63

15.83

19.06

31.02

12.52

20.74

34.05

8.77

15.41

24.62

9.94

ODEFormer

14.37

25.62

14.25

18.31

29.66

12.51

19.48

32.14

8.25

13.85

22.88

9.05

\(\Delta {E_{\text{1}}}\)

3.81

4.69

4.66

6.39

8.46

4.61

5.82

6.44

3.41

4.01

4.95

2.4

\(\Delta {E_2}\)

6.96

9.49

9.08

8.83

11.93

5.69

10.5

13.71

4.95

8.35

11.18

5.15

\(\Delta {E_{\text{3}}}\)

1.68

2.71

1.58

2.13

2.71

1.07

2.39

3.43

0.88

2.48

2.58

1.34

\(\Delta {E_{\text{4}}}\)

0.8

1.01

1.58

0.75

1.36

0.01

1.26

1.91

0.52

1.56

1.74

0.89

\(\overline {{\Delta {E_N}}}\)

MAE:4.23 RMSE:5.52 MAPE:2.99%

\(\overline {{\Delta {P_N}}}\)

MAE:18.91% RMSE:15.77% MAPE:0.18%