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A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices
13 references·5 citing·40 second hop
A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices (2022)A combined forecasting framework includin…Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm (2022)Deterministic and uncertainty…Carbon price forecasting system based on error correction and divide-conquer strategies (2021)Carbon price forecasting syst…Point and interval forecasting for carbon price based on an improved analysis-forecast system (2019)Point and interval forecastin…Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm (2019)Forecasting the Carbon Price …A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network (2019)A carbon price prediction mod…Carbon price forecasting with variational mode decomposition and optimal combined model (2018)Carbon price forecasting with…Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm (2018)Analysis and forecasting of t…Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)Forecasting carbon price usin…Factor analysis and forecasting of CO2 emissions in Hebei, using extreme learning machine based on particle swarm optimization (2017)Factor analysis and forecasti…Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market (2014)Environmental Policy and Dire…Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)Carbon price forecasting with…An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect (2010)An overview of current resear…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyA secondary decomposition-ensemble framework for interval carbon price forecasting (2024)A secondary decomposition-ens…Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory (2023)Causal carbon price interval …A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market (2023)A novel interval-valued carbo…A novel deep learning based forecasting model for carbon emissions trading: A comparative analysis of regional markets (2023)A novel deep learning based f…A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory (2023)A hybrid carbon price predict…The energy–climate challenge: Recent trends in CO2 emissions from fuel combustion (2007)Modeling the price dynamics of CO2 emission allowances (2008)Price drivers and structural breaks in European carbon prices 2005–2007 (2008)Carbon finance and carbon market in China: Progress and challenges (2019)How does emission trading reduce China's carbon intensity? 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References

  • 1995Comparing Predictive Accuracy5,214 cited
  • 2014Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market1,130 cited
  • 2010An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect434 cited
  • 2012Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology376 cited
  • 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 cited
  • 2019A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network259 cited
  • 2018Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm181 cited
  • 2017Factor analysis and forecasting of CO2 emissions in Hebei, using extreme learning machine based on particle swarm optimization143 cited
  • 2018Carbon price forecasting with variational mode decomposition and optimal combined model142 cited
  • 2019Point and interval forecasting for carbon price based on an improved analysis-forecast system114 cited
  • 2021Carbon price forecasting system based on error correction and divide-conquer strategies113 cited
  • 2019Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm59 cited
  • 2022

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Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm
57 cited

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  • 2023A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory44 cited
  • 2024A secondary decomposition-ensemble framework for interval carbon price forecasting43 cited
  • 2023A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market42 cited
  • 2023Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory37 cited
  • 2023A novel deep learning based forecasting model for carbon emissions trading: A comparative analysis of regional markets33 cited