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Hybrid carbon price forecasting using a deep augmented FEDformer model and multimodel optimization piecewise error correction
16 references·1 citing·46 second hop
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References

  • 2019DeepAR: Probabilistic forecasting with autoregressive recurrent networks2,726 cited
  • 2002Comparing Predictive Accuracy1,745 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2005Recent Developments in Econometric Modeling and Forecasting524 cited
  • 2019Renewable energy, non-renewable energy and sustainable development495 cited
  • 2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network316 cited
  • 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 cited
  • 2019Carbon trading volume and price forecasting in China using multiple machine learning models294 cited
  • 2019Carbon finance and carbon market in China: Progress and challenges287 cited
  • 2019A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network259 cited
  • 2015Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model209 cited
  • 2018Carbon price forecasting with variational mode decomposition and optimal combined model142 cited
  • 2020Carbon price forecasting with optimization prediction method based on unstructured combination128 cited
  • 2021A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting

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122 cited
  • 2021Carbon price forecasting system based on error correction and divide-conquer strategies113 cited
  • 2023Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm95 cited
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    • 2025Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors52 cited