Research on the Application of a Composite Model Integrating CEEMDAN with CNN-GRU-Attentions for Carbon Price Forecasting-Reference-Cited by-同舟云学术

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Research on the Application of a Composite Model Integrating CEEMDAN with CNN-GRU-Attentions for Carbon Price Forecasting

Published:2024 Issue:06 Volume:14 Page:460-471
ISSN:2160-7583
Container-title:Pure Mathematics
language:
Short-container-title:PM

Author:

陈昱

Publisher

Hans Publishers

Reference12 articles.

1. Chevallier, J. (2009) Nonparametric Tests of Trends for Carbon Prices Forecast. Energy Economics, 31, 535-543.

2. Koop, G. and Tole, L. (2008) The Dynamic Demand for Carbon Emission Quotas. Journal of Environmental Economics and Management, 56, 117-130.

3. Byun, S. and Cho, S. (2013) Forecasting CO₂ Emission Allowance Prices Using GARCH Models. Energy Economics, 36, 54-63.

4. Han, L., et al. (2018) Forecasting Carbon Prices Using a Limited Distributional Lag Model and a Genetic Algorithm. Journal of Cleaner Production, 172, 2747-2757.

5. Atsalakis, G.S., et al. (2015) Carbon Trading Prediction Using Computational Intelligence Techniques. Energy, 81, 701-710.

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