Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers

Author:

Wu Binrong,Zeng Huanze,Wang Zhongrui,Wang LinORCID

Funder

Fundamental Research Funds for the Central Universities

Huazhong University of Science and Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. Carbon emissions determinants and forecasting: evidence from G6 countries;Duc;J. Environ. Manag.,2021

2. A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China;Zeng;Sci. Total Environ.,2023

3. An evolutionary cost-sensitive support vector machine for carbon price trend forecasting;Zhu;J. Forecast.,2023

4. Environmental degradation & role of financialisation, economic development, industrialisation and trade liberalisation;Nasir;J. Environ. Manag.,2021

5. A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices;Niu;Renew. Energy,2022

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