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Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization
14 references·12 citing·38 second hop
Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization (2020)Predicting monthly natural gas production…The conformable fractional grey system model (2019)The conformable fractional gr…A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China (2019)A novel fractional time delay…Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model (2018)Forecasting U.S. shale gas mo…Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator (2018)Forecasting the output of sha…A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors (2018)A seasonal GM(1,1) model for …A novel self-adapting intelligent grey model for forecasting China's natural-gas demand (2018)A novel self-adapting intelli…Grey forecasting method of quarterly hydropower production in China based on a data grouping approach (2017)Grey forecasting method of qu…Forecasting China’s natural gas demand based on optimised nonlinear grey models (2017)Forecasting China’s natural g…Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China (2017)Application of a novel time-d…A grey neural network and input-output combined forecasting model. 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this work references cited by second hop

References

  • 2012Grey system model with the fractional order accumulation622 cited
  • 2019The conformable fractional grey system model303 cited
  • 2018A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors280 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
  • 2012On novel grey forecasting model based on non-homogeneous index sequence166 cited
  • 2017Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China163 cited
  • 2017Forecasting China’s natural gas demand based on optimised nonlinear grey models161 cited
  • 2017Grey forecasting method of quarterly hydropower production in China based on a data grouping approach148 cited
  • 2018Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator144 cited
  • 2018Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model131 cited
  • 2014Non-homogenous discrete grey model with fractional-order accumulation130 cited
  • 2018A novel self-adapting intelligent grey model for forecasting China's natural-gas demand98 cited
  • 2016A grey neural network and input-output combined forecasting model. Primary energy consumption forecasts in Spanish economic sectors96 cited

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  • 1994Introduction to Time-Series Modeling and Forecasting in Business and Economics89 cited
  • Cited by

    • 2021A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation79 cited
    • 2021Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods72 cited
    • 2022A summary of grey forecasting models72 cited
    • 2022Scenario simulations of China's natural gas consumption under the dual-carbon target71 cited
    • 2021Forecasting natural gas consumption of China by using a novel fractional grey model with time power term68 cited
    • 2021Forecasting the seasonal natural gas consumption in the US using a gray model with dummy variables55 cited
    • 2021Predictive analysis of quarterly electricity consumption via a novel seasonal fractional nonhomogeneous discrete grey model: A case of Hubei in China55 cited
    • 2022A novel two-stage seasonal grey model for residential electricity consumption forecasting54 cited
    • 2023A novel data-driven seasonal multivariable grey model for seasonal time series forecasting52 cited
    • 2022A novel seasonal adaptive grey model with the data-restacking technique for monthly renewable energy consumption forecasting50 cited
    • 2023Probabilistic accumulation grey forecasting model and its properties49 cited
    • 2023Forecasting China's hydropower generation using a novel seasonal optimized multivariate grey model49 cited