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Table 4 Prediction score of various methods (RMSE)

From: Energy consumption data collection: case study on data center in a Thai University

Data

Multivar

AutoR

AutoR

ARIMA

ARIMA

Linear

Lag = 1

Lag = 50

\(p=3,d=1,q=3\)

\(p=4,d=1,q=4\)

CRAC3

0.94

0.40

249.18

1,236.18

999.95

CRAC4

0.95

0.42

41.19

1,617.19

1,633.50

ULC5

0.98

0.32

6.80

770.15

770.24

ULC6

0.99

0.32

7.29

793.61

793.14