Research Article
Forecasting Natural Gas Consumption of China Using a Novel Grey Model
Table 1
Summary of the empirical literature in Section
2.1.
| Author(s) | Model | Countries | Forecasting horizon |
| Hubbert [3, 4] | Hubbert curves | US | Energy from fossil fuels; nuclear energy | Brown et al. [5] | Feed-forward network | US | Gas consumption | Bartels et al. [6] | Statistical analysis | Australia | Gas consumption | Lin and Wang [8] | Logistic and Gaussian curves | China | Natural gas supply | Shaikh and Ji [9] | Logistic modelling analysis | China | Natural gas consumption | Wadud et al.[10] | Dynamic econometric model | Bangladesh | Natural gas demand | Soldo et al.[11] | Neural networks | Croatia | Residential natural gas consumption | Ervural et al.[12] | GA-based ARMA | Turkey | Natural gas consumption | Gascón and Sánchez-Úbeda [13] | Linear additive models | Simulated data | Natural gas demand | Wei et al.[14] | Hybrid model | China | Daily natural gas consumption | Özmen et al. [15] | MARS; CMARS | Turkey | Natural gas consumption | Sen et al. [16] | Multiple regression | Turkey | Natural gas consumption | Chai et al. [17] | LMDI-STIRPAT-PLSR | China | Natural gas consumption |
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