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Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order
16 references·3 citing·40 second hop
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References

  • 2009Grey system theory-based models in time series prediction788 cited
  • 2012Grey system model with the fractional order accumulation622 cited
  • 2019A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China265 cited
  • 2019The novel fractional discrete multivariate grey system model and its applications202 cited
  • 2018An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting163 cited
  • 2017Forecasting China’s natural gas demand based on optimised nonlinear grey models161 cited
  • 2019Estimation of electronic waste using optimized multivariate grey models131 cited
  • 2014Properties of the GM(1,1) with fractional order accumulation118 cited
  • 2018Prediction of air quality indicators for the Beijing-Tianjin-Hebei region114 cited
  • 2020Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model100 cited
  • 2016Grey modelling based forecasting system for return flow of end-of-life vehicles89 cited
  • 2020Projections of Turkey's electricity generation and installed capacity from total renewable and hydro energy using fractional nonlinear grey Bernoulli model and its reduced forms89 cited
  • 2019Short-term forecasting of renewable energy consumption: Augmentation of a modified grey model with a Kalman filter

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80 cited
  • 2020Application of a new grey prediction model and grey average weakening buffer operator to forecast China’s shale gas output70 cited
  • 2020Modeling Method of the Grey GM(1,1) Model with Interval Grey Action Quantity and Its Application68 cited
  • 2019Examination and prediction of fog and haze pollution using a Multi-variable Grey Model based on interval number sequences67 cited
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    • 2021Grey forecasting models based on internal optimization for Novel Corona virus (COVID-19)50 cited
    • 2022A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases38 cited
    • 2023Forecasting China’s total renewable energy capacity using a novel dynamic fractional order discrete grey model35 cited