A grey prediction model optimized by meta-heuristic algorithms and its application in forecasting carbon emissions from road fuel combustion-Reference-Cited by-同舟云学术

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A grey prediction model optimized by meta-heuristic algorithms and its application in forecasting carbon emissions from road fuel combustion

Published:2024-09 Issue: Volume:302 Page:131922
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Sapnken Flavian Emmanuel^ORCID,Hong Kwon Ryong,Chopkap Noume Hermann,Tamba Jean Gaston

Publisher

Elsevier BV

Reference56 articles.

1. Estimating energy-related CO2 emissions using a novel multivariable fuzzy grey model with time-delay and interaction effect characteristics;Ding;Energy,2023

2. Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries;Karakurt;Energy,2023

3. Stratégie Nationale de Développement 2020-2030 : Pour la transformation structurelle et le développement inclusif,2020

4. Decoupling analysis of CO2 emissions from transport sector in Cameroon;Engo;Sustain Cities Soc,2019

5. World energy outlook 2021,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning;Engineering Applications of Computational Fluid Mechanics;2024-08-23

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