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Table 2 The categories of the input variables

From: Using improved support vector regression to predict the transmitted energy consumption data by distributed wireless sensor network

Categories

Climate factors

Abbreviation

Value range

Categories

Climate factors

Abbreviation

Value range

Max temperature (°C)

Maximum

Average

Minimum

Max-T-max

Max-T-avg

Max-T-min

5~36

− 2~29

− 16~21

Humidity (%)

Maximum

Average

Minimum

Hum-max

Hum-avg

Hum-min

30~98

12~63

4~22

Avg temperature (°C)

Maximum

Average

Minimum

Avg-T-max

Avg-T-avg

Avg-T-min

− 1~30

− 7~25

− 17~20

Sea level pressure (hPa)

Maximum

Average

Minimum

SLP-max

SLP-avg

SLP-min

1011~1052

1004~1035

992~1023

Min temperature (°C)

Maximum

Average

Minimum

Min-T-max

Min-T-avg

Min-T-min

− 6~27

− 11~21

− 18~18

Visibility (km)

Maximum

Average

Minimum

Vis-max

Vis-avg

Vis-min

30

8~25

0.1~7

Dew point (°C)

Maximum

Average

Minimum

DP-max

DP-avg

DP-min

− 14~23

− 23~18

− 44~11

Wind (km/h)

Maximum

Average

Minimum

W-max

W-avg

W-min

14~40

5~10

0

Precipitation (mm)

Maximum

Average

Minimum

Sum

Pre-max

Pre-avg

Pre-min

Pre-sum

0~49

0~4.50

0~143.6

Growing degree days (base 50) (days)

Maximum

Average

Minimum

Sum

GDD-max

GDD-avg

GDD-min

GDD-sum

0~35

0~27

0~18

0~839

Heating degree days (base 65) (days)

Maximum

Average

Minimum

Sum

HDD-max

HDD-avg

HDD-min

HDD-sum

0~63

0~45

0~35

0~1391

Cooling degree days (base 65) (days)

Maximum

Average

Minimum

Sum

CDD-max

CDD-avg

CDD-min

CDD-sum

0~20

0~12

0~3

0~376