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A novel robust reweighted multivariate grey model for forecasting the greenhouse gas emissions
16 references·1 citing·41 second hop
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References

  • 1982Control problems of grey systems4,534 cited
  • 1989Introduction to Grey system theory4,266 cited
  • 2012Grey system model with the fractional order accumulation622 cited
  • 2008Discrete grey forecasting model and its optimization508 cited
  • 2016Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization242 cited
  • 2014Modelling and forecasting CO 2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model231 cited
  • 2018Modelling the nonlinear relationship between CO2 emissions and economic growth using a PSO algorithm-based grey Verhulst model231 cited
  • 2019A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer225 cited
  • 2017A novel method for carbon dioxide emission forecasting based on improved Gaussian processes regression207 cited
  • 2019Forecasting of CO 2 emissions in Iran based on time series and regression analysis207 cited
  • 2020Forecasting CO2 emissions in Chinas commercial department, through BP neural network based on random forest and PSO178 cited
  • 2019Can China achieve its 2030 carbon emissions commitment? Scenario analysis based on an improved general regression neural network155 cited
  • 2017The decomposition of CO2 emissions from energy use in Greece before and during the economic crisis and their decoupling from economic growth

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152 cited
  • 2019Influencing factors analysis and forecasting of residential energy-related CO2 emissions utilizing optimized support vector machine135 cited
  • 2017The kernel-based nonlinear multivariate grey model119 cited
  • 2019A novel hybrid multivariate nonlinear grey model for forecasting the traffic-related emissions100 cited
  • Cited by

    • 2022A damping grey multivariable model and its application in online public opinion prediction28 cited