Table 8 A sample of predicted and targeted values for the second scenario.

From: Multistage prediction approach of EVs charging performance in smart transportation systems by deep learning technique

Distance

Road Type

Weather

Initial SoC

Required SoC

Actual

Predicted

Error

Actual

Predicted

Error

35

City

Mild

67.083

67.083

−0.00005

76.25

76.25

0.00067

64

Highway

Mild

62.000

62.000

0.000146

78.000

78.000

−0.00079

126

Combined

Mild

57.400

57.400

0.000105

80.478

80.478

−0.00021

210

City

Not Mild

43.750

43.750

−0.00028

86.667

86.667

0.000101

259

Highway

Not Mild

26.833

26.833

−0.00016

93.500

93.500

0.000242

323

Combined

Not Mild

23.857

23.857

0.00069

95.188

95.188

0.00027

Distance

Road Type

Weather

Arrival Time

Departure Time

Actual

Predicted

Error

Actual

Predicted

Error

35

City

Mild

10.000

9.9998

0.0002

200.00

200.00

0.00013

64

Highway

Mild

13.800

13.798

0.002

190.00

190.00

−0.0007

126

Combined

Mild

19.800

19.800

−0.0001

201.60

201.60

0.0001

210

City

Not Mild

27.000

27.000

0.00017

200.00

200.00

−0.00023

259

Highway

Not Mild

32.000

32.000

−0.00022

201.20

201.20

0.00008

323

Combined

Not Mild

38.000

38.000

0.0004

197.00

197.00

−0.00036