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)ModelCountriesForecasting horizon

Hubbert [3, 4]Hubbert curvesUSEnergy from fossil fuels; nuclear energy
Brown et al. [5]Feed-forward networkUSGas consumption
Bartels et al. [6]Statistical analysisAustraliaGas consumption
Lin and Wang [8]Logistic and Gaussian curvesChinaNatural gas supply
Shaikh and Ji [9]Logistic modelling analysisChinaNatural gas consumption
Wadud et al.[10]Dynamic econometric modelBangladeshNatural gas demand
Soldo et al.[11]Neural networksCroatiaResidential natural gas consumption
Ervural et al.[12]GA-based ARMATurkeyNatural gas consumption
Gascón and Sánchez-Úbeda [13]Linear additive modelsSimulated dataNatural gas demand
Wei et al.[14]Hybrid modelChinaDaily natural gas consumption
Özmen et al. [15]MARS; CMARSTurkeyNatural gas consumption
Sen et al. [16]Multiple regressionTurkeyNatural gas consumption
Chai et al. [17]LMDI-STIRPAT-PLSRChinaNatural gas consumption