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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

CategoriesClimate factorsAbbreviationValue rangeCategoriesClimate factorsAbbreviationValue 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