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Grey forecasting the impact of population and GDP on the carbon emission in a Chinese region
16 references·0 citing·48 second hop
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References

  • 1982Control problems of grey systems4,503 cited
  • 2022Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030316 cited
  • 2021Application of a new grey multivariate forecasting model in the forecasting of energy consumption in 7 regions of China142 cited
  • 2013The effect of sample size on the grey system model128 cited
  • 2014Properties of the GM(1,1) with fractional order accumulation118 cited
  • 2021A novel multivariable grey prediction model and its application in forecasting coal consumption89 cited
  • 2022Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China83 cited
  • 2022Analysis of China's energy efficiency and influencing factors under carbon peaking and carbon neutrality goals78 cited
  • 2023The relationship between agricultural and animal husbandry economic development and carbon emissions in Henan Province, the analysis of factors affecting carbon emissions, and carbon emissions prediction69 cited
  • 2022Forecasting of carbon dioxide emissions from power plants in Kuwait using United States Environmental Protection Agency, Intergovernmental panel on climate change, and machine learning methods66 cited
  • 2011The indirect measurement of tensile strength by the new model FGMC (1,n)57 cited
  • 2021Forecast of annual water consumption in 31 regions of China considering GDP and population47 cited
  • 2022Using grey Gompertz model to explore the carbon emission and its peak in 16 provinces of China

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39 cited
  • 2020Forecasting air quality considering the socio-economic development in Xingtai37 cited
  • 2023A novel deep learning based forecasting model for carbon emissions trading: A comparative analysis of regional markets33 cited
  • 2023Optimization of China’s freight transportation structure based on adaptive genetic algorithm under the background of carbon peak5 cited
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