An innovative prediction algorithm based on grey modeling theory and the marine predators algorithm for short-term carbon dioxide emissions in China-Reference-Cited by-同舟云学术

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An innovative prediction algorithm based on grey modeling theory and the marine predators algorithm for short-term carbon dioxide emissions in China

Published:2024-11 Issue: Volume:137 Page:109066
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Liu Chong,Wu Wen-Ze,Xie Wanli,Shi Sheng,Zhu Hegui^ORCID

Publisher

Elsevier BV

Reference53 articles.

1. A paradigm shift to CO2 sequestration to manage global warming – with the emphasis on developing countries;Bhattacharyya;Sci. Total Environ.,2021

2. Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization;Ceylan;Appl. Soft Comput.,2021

3. Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate;Chen;Chaos Solitons Fractals,2008

4. Fractional Hausdorff grey model and its properties;Chen;Chaos Solitons Fractals,2020

5. Empirical assessment of carbon emissions in guangdong province within the framework of carbon peaking and carbon neutrality: a lasso-tpe-bp neural network approach;Chen;Environ. Sci. Pollut. Res.,2023

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