Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning

Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning

Abstract Electric vehicle (EV) $$\hbox {CO}_2$$ emissions should be predicted and mitigated, which requires lowering EV emissions in line with global sustainability goals. Such accurate forecasting supports policymakers and other industry stakeholders make marketing decisions to reduce environmental...

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Bibliographic Details
Main Authors: Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
$$\hbox {CO}_2$$ emissions prediction
Electric vehicles (EVs)
Greylag Goose Optimization (GGO)
Multi-Layer Perceptron (MLP)
Sustainable transportation
Online Access:https://doi.org/10.1038/s41598-025-99472-0
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https://doi.org/10.1038/s41598-025-99472-0

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