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Predicting seasonal patterns of energy production: A grey seasonal trend least squares support vector machine
16 references·0 citing·43 second hop
Predicting seasonal patterns of energy production: A grey seasonal trend least squares support vector machine (2022)Predicting seasonal patterns of energy pr…An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production (2022)An optimized nonlinear grey B…Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods (2021)Forecasting seasonal electric…Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting (2021)Application of a novel struct…A novel multivariable grey prediction model and its application in forecasting coal consumption (2021)A novel multivariable grey pr…A novel flexible grey multivariable model and its application in forecasting energy consumption in China (2021)A novel flexible grey multiva…Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model (2020)Estimating Chinese energy-rel…Application of a novel discrete grey model for forecasting natural gas consumption: A case study of Jiangsu Province in China (2020)Application of a novel discre…A novel discrete grey seasonal model and its applications (2020)A novel discrete grey seasona…A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting (2020)A novel adaptive discrete gre…A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers (2019)A novel energy consumption fo…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 …Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)Forecasting carbon price usin…LSSVR ensemble learning with uncertain parameters for crude oil price forecasting (2016)LSSVR ensemble learning with …Optimization models based on GM (1,1) and seasonal fluctuation for electricity demand forecasting (2012)Optimization models based on …Control problems of grey systems (1982)Control problems of grey syst…Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network (2019)Carbon trading volume and price forecasting in China using multiple machine learning models (2019)China's carbon emissions trading and stock returns (2019)Grey Systems: Theory and Applications (2010)Grey Systems: Theory and Applications (2011)A brief introduction to grey systems theory (2012)A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries (2018)Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption (2018)How to peak carbon emissions of provincial construction industry? 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this work references cited by second hop

References

  • 1982Control problems of grey systems4,534 cited
  • 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 cited
  • 2018A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors280 cited
  • 2020A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting218 cited
  • 2018Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator144 cited
  • 2020Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model144 cited
  • 2021Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting105 cited
  • 2022An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production93 cited
  • 2021A novel multivariable grey prediction model and its application in forecasting coal consumption89 cited
  • 2020A novel discrete grey seasonal model and its applications88 cited
  • 2016LSSVR ensemble learning with uncertain parameters for crude oil price forecasting81 cited
  • 2012Optimization models based on GM (1,1) and seasonal fluctuation for electricity demand forecasting80 cited
  • 2019A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers

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78 cited
  • 2021Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods72 cited
  • 2020Application of a novel discrete grey model for forecasting natural gas consumption: A case study of Jiangsu Province in China70 cited
  • 2021A novel flexible grey multivariable model and its application in forecasting energy consumption in China67 cited
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