Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration-Reference-Cited by-同舟云学术

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Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration

Published:2024-06 Issue: Volume:362 Page:121253
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Lan Yuqiao,Huangfu Yubin^ORCID,Huang Zhehao^ORCID,Zhang Changhong

Funder

Natural Science Foundation of Guangdong Province

National Office for Philosophy and Social Sciences

National Natural Science Foundation of China-Guangdong Joint Fund

Publisher

Elsevier BV

Reference81 articles.

1. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling;Bai,2018

2. Permutation entropy: a natural complexity measure for time series;Bandt;Phys. Rev. Lett.,2002

3. Forecasting carbon futures volatility using GARCH models with energy volatilities;Byun;Energy Econ.,2013

4. A decomposition–integration model with dynamic fuzzy reconstruction for crude oil price prediction and the implications for sustainable development;Chai;J. Clean. Prod.,2019

5. Carbon price prediction for China's ETS pilots using variational mode decomposition and optimized extreme learning machine;Chai;Ann. Oper. Res.,2021

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