Research Article

Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm

Table 2

Results based on Ng-Perron unit root test.

VariablesLevelThe first differenceThe second difference
MZaMZtMSBMPTMZaMZtMSBMPTMZaMZtMSBMPT

E−1.710.234.02−2.900.151.93−0.930.4410.62
X11.191.741.46145.21−3.100.151.45−1.94−0.970.5012.46
X2−2.450.182.39−2.170.222.70−2.500.192.08
X30.410.5524.74−2.560.182.03−2.400.202.17
X4−4.68−1.300.285.66−1.810.273.74−2.610.181.85
X5−2.23−0.880.399.69−2.380.182.52−3.300.151.16
E−2.17−0.970.4437.97−7.99−1.790.2311.90−5.41−1.620.3016.77
X1−3.16−1.070..3424.85−0.41−0.250.6185.70−9.73−2.210.239.36
X2−4.250.122.70−10.23−2.190.219.20−13.39−2.580.196.85
X3−2.870.175.57−13.87−2.580.196.87−11.60−2.390.217.96
X4−13.31−2.570.196.91−6.75−1.820.2713.50−13.89−2.620.196.64
X5−0.48−0.200.4142.25−14.15−2.600.186.83−3.340.154.08

Critical values (intercept) Critical values (intercept and trend)

1% level−13.80−2.580.171.78−23.80−3.420.144.03
5% level−8.10−1.980.233.17−17.302.910.175.48
10% level−5.70−1.620.274.45−14.20−2.620.186.67

Note. , , and ∗∗∗ denote significance at the 10%, 5%, and 1% levels, respectively; , and denote the ln form of electricity demand, population, GDP, economic structure, urbanization, and energy price, respectively.