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Drivers analysis and empirical mode decomposition based forecasting of energy consumption structure
12 references·2 citing·53 second hop
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References

  • 1989Impact of carbon dioxide emission control on GNP growth : Interpretation of proposed scenarios643 cited
  • 2016Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model393 cited
  • 2018Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China228 cited
  • 2018Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally209 cited
  • 2018Improvement pathway of energy consumption structure in China's industrial sector: From the perspective of directed technical change149 cited
  • 2018The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization147 cited
  • 2018Optimizing China’s energy consumption structure under energy and carbon constraints131 cited
  • 2019Impact of China's economic growth and energy consumption structure on atmospheric pollutants: Based on a panel threshold model121 cited
  • 2019Is decoupling economic growth from fuel consumption possible in developing countries? – A comparison of China and India119 cited
  • 2019Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory100 cited
  • 2019A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers78 cited
  • 2016Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price56 cited

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Cited by

  • 2020Dynamic relationship between environmental regulation and energy consumption structure in China under spatiotemporal heterogeneity50 cited
  • 2023A hybrid coal prediction model based on grey Markov optimized by GWO – A case study of Hebei province in China40 cited