A new circular neural grey model and its application to CO2 emissions in China

Author:

Duan HuimingORCID,He Chenglin,Pu Shiwei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference36 articles.

1. Prediction of CO2 Emissions Using Deep Learning Hybrid Approach: A Case Study in Indian Context. 2019 Twelfth International Conference on Contemporary Computing (IC3);Amarpuri,2019

2. West Africa's CO2 emissions: investigating the economic indicators, forecasting, and proposing pathways to reduce carbon emission levels;Ameyaw;Environ. Sci. Pollut. Control Ser.,2020

3. Predicting the carbon dioxide emission of China using a novel augmented hypo-variance brain storm optimisation and the impulse response function;Boamah;Environ. Technol.,2021

4. A novel of fractional order predictive model on carbon emission intensity in China's transportation sector;Cheng;Environ. Eng. Manag. J. (EEMJ),2021

5. Benefits evaluation of the Northeast Passage based on grey relational degree of discrete Z-numbers;Chu;Inf. Sci.,2023

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