Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model

@inproceedings{Pao2012ForecastingOC,
  title={Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model},
  author={Hsiao-Tien Pao and Hsin-Chia Fu and Cheng-Lung Tseng},
  year={2012}
}
Analyses and forecasts of carbon emissions, energy consumption and real outputs are key requirements for clean energy economy and climate change in rapid growth market such as China. This paper employs the nonlinear grey Bernoulli model (NGBM) to predict these three indicators and proposes a numerical iterative method to optimize the parameter of NGBM. The forecasting ability of NGBM with optimal parameter model, namely NGBM−OP has remarkably improved, compared to the GM and ARIMA. The MAPEs of… CONTINUE READING

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