Research Article
Prediction of Natural Gas Consumption in Different Regions of China Using a Hybrid MVO-NNGBM Model
Table 2
Predicted results of natural gas consumption in 30 regions of China (bcm).
| | Region | Province | 2016 | 2017 | 2018 | 2019 | 2020 | Growth rate |
| | North China | Beijing | 17.7 | 22.1 | 27.9 | 35.7 | 46.3 | 215% | | Tianjin | 8.6 | 12.2 | 17.9 | 27.2 | 43.2 | 575% | | Hebei | 8.7 | 10.7 | 13.4 | 16.9 | 21.6 | 196% | | Shanxi | 7.9 | 10.0 | 12.8 | 16.6 | 21.8 | 236% | | Inner Mongolia | 4.0 | 3.9 | 3.8 | 3.7 | 3.6 | −9% |
| | Northeast China | Liaoning | 4.2 | 2.9 | 2.0 | 1.3 | 0.9 | −83% | | Jilin | 1.9 | 1.7 | 1.5 | 1.3 | 1.1 | −47% | | Heilongjiang | 3.6 | 3.6 | 3.5 | 3.5 | 3.4 | −5% |
| | East China | Shanghai | 7.8 | 7.8 | 7.7 | 7.6 | 7.5 | −3% | | Jiangsu | 18.6 | 21.7 | 25.6 | 30.3 | 36.1 | 119% | | Zhejiang | 9.8 | 11.5 | 13.6 | 16.1 | 19.1 | 137% | | Anhui | 3.8 | 4.1 | 4.3 | 4.4 | 4.6 | 32% | | Fujian | 4.6 | 4.4 | 4.1 | 3.9 | 3.6 | −20% | | Jiangxi | 1.9 | 2.0 | 2.0 | 2.0 | 1.9 | 5% | | Shandong | 8.6 | 8.9 | 9.2 | 9.5 | 9.8 | 19% |
| | South-Central China | Henan | 7.1 | 6.5 | 5.8 | 5.1 | 4.5 | −43% | | Hubei | 4.5 | 4.9 | 5.2 | 5.6 | 5.9 | 48% | | Hunan | 3.0 | 3.3 | 3.6 | 4.0 | 4.4 | 65% | | Guangdong | 15.9 | 17.6 | 19.5 | 21.7 | 24.3 | 67% | | Guangxi | 0.9 | 0.8 | 0.6 | 0.5 | 0.4 | −54% | | Hainan | 4.6 | 4.6 | 4.6 | 4.7 | 4.7 | 2% |
| | West China | Chongqing | 9.6 | 10.4 | 11.3 | 12.3 | 13.4 | 52% | | Sichuan | 18.6 | 20.2 | 22.2 | 24.6 | 27.3 | 60% | | Guizhou | 1.7 | 2.0 | 2.5 | 3.0 | 3.5 | 161% | | Yunnan | 0.8 | 1.1 | 1.6 | 2.4 | 4.1 | 549% | | Shaanxi | 9.0 | 9.9 | 10.9 | 12.1 | 13.4 | 62% | | Gansu | 2.6 | 2.6 | 2.5 | 2.4 | 2.3 | −11% | | Qinghai | 4.3 | 4.2 | 4.0 | 3.9 | 3.7 | −16% | | Ningxia | 2.0 | 2.0 | 2.0 | 1.9 | 1.9 | −6% | | Xinjiang | 16.1 | 16.3 | 16.3 | 16.1 | 15.8 | 8% |
| | Total | Average | 212.3 | 233.7 | 261.9 | 300.2 | 354.1 | 82% |
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