Carbon price forecasting using multiscale nonlinear integration model coupled optimal feature reconstruction with biphasic deep learning

@article{Wang2021CarbonPF,
  title={Carbon price forecasting using multiscale nonlinear integration model coupled optimal feature reconstruction with biphasic deep learning},
  author={Jujie Wang and Qian Cheng and Xin Sun},
  journal={Environmental Science and Pollution Research},
  year={2021},
  volume={29},
  pages={85988 - 86004}
}
Precise carbon price forecasting matters a lot for both regulators and investors. The improvement of carbon price forecasting can not only provide investors with rational advice but also make for energy conservation and emission reduction. But traditional methods do not perform well in prediction because of the nonlinearity and non-stationarity of carbon price. In this study, an innovative multiscale nonlinear integration model is proposed to improve the accuracy of carbon price forecasting… 
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2 Citations

2 Citations

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