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Application of a novel grey forecasting model with time power term to predict China's GDP
11 references·1 citing·36 second hop
Application of a novel grey forecasting model with time power term to predict China's GDP (2020)Application of a novel grey forecasting m…The conformable fractional grey system model (2019)The conformable fractional gr…Improved GM(1,1) model based on Simpson formula and its applications (2019)Improved GM(1,1) model based …Analysis of novel FAGM(1,1,tα) model to forecast health expenditure of China (2019)Analysis of novel FAGM(1,1,tα…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…Optimal solution for novel grey polynomial prediction model (2018)Optimal solution for novel gr…Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption (2018)Application of the novel frac…Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China (2017)Application of a novel time-d…Using a Novel Grey System Model to Forecast Natural Gas Consumption in China (2015)Using a Novel Grey System Mod…Grey system model with the fractional order accumulation (2012)Grey system model with the fr…Novel grey forecasting model and its modeling mechanism (2009)Novel grey forecasting model …Discrete grey forecasting model and its optimization (2008)Discrete grey forecasting mod…Artificial Intelligence Approach to Predict Supply Chain Performance: Implications for Sustainability (2024)Artificial Intelligence Appro…Introduction to Grey system theory (1989)Grey system theory-based models in time series prediction (2009)Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model (2019)Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model (2004)Analysis and forecasting of nonresidential electricity consumption in Romania (2010)Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil (2011)A novel grey model based on traditional Richards model and its application in COVID-19 (2020)A novel neural grey system model with Bayesian regularization and its applications (2021)Predicting Chinese total retail sales of consumer goods by employing an extended discrete grey polynomial model (2021)Fuzzy sets (1965)Control problems of grey systems (1982)Fuzzy sets (1996)Forecasting China's electricity consumption using a new grey prediction model (2018)Industrial and business forecasting methods (1982)An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting (2018)Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China (2018)Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application (2018)A note on the validity of cross-validation for evaluating autoregressive time series prediction (2017)A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer (2019)A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries (2019)Carbon trading volume and price forecasting in China using multiple machine learning models (2019)CO 2 emissions, energy consumption, economic growth, and financial development in GCC countries: Dynamic simultaneous equation models (2016)Forecast of biofuel production and consumption in top CO2 emitting countries using a novel grey model (2020)Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model (2020)Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model (2021)Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1) (2006)Grey optimization Verhulst model and its application in forecasting coal-related CO2 emissions (2020)A novel structure adaptive fractional derivative grey model and its application in energy consumption prediction (2023)Forecasting China's hydropower generation using a novel seasonal optimized multivariate grey model (2023)New grey prediction model and its application in forecasting land subsidence in coal mine (2013)A time power-based grey model with conformable fractional derivative and its applications (2021)Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model (2023)An enhanced multivariable dynamic time-delay discrete grey forecasting model for predicting China's carbon emissions (2022)An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production (2022)Forecasting Chinese provincial carbon emissions using a novel grey prediction model considering spatial correlation (2022)Driving forces of China’s CO2 emissions from energy consumption based on Kaya-LMDI methods (2019)
this work references cited by second hop

References

  • 2012Grey system model with the fractional order accumulation622 cited
  • 2008Discrete grey forecasting model and its optimization508 cited
  • 2019The conformable fractional grey system model303 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
  • 2017Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China163 cited
  • 2018Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption121 cited
  • 2018Optimal solution for novel grey polynomial prediction model109 cited
  • 2015Using a Novel Grey System Model to Forecast Natural Gas Consumption in China64 cited
  • 2009Novel grey forecasting model and its modeling mechanism55 cited
  • 2019Improved GM(1,1) model based on Simpson formula and its applications55 cited
  • 2019Analysis of novel FAGM(1,1,tα) model to forecast health expenditure of China52 cited

Cited by

  • 2024Artificial Intelligence Approach to Predict Supply Chain Performance: Implications for Sustainability35 cited

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