Leveraging Machine Learning to Assess the Impact of Energy Consumption on Global GDP Growth: What Actions should be taken Globally toward Environmental Concerns?

Leveraging Machine Learning to Assess the Impact of Energy Consumption on Global GDP Growth: What Actions should be taken Globally toward Environmental Concerns?

The study aims to explore the impact of renewable, nonrenewable, and nuclear energy consumption on global gross domestic product (GDP) growth through machine learning algorithms. The findings reveal that renewable energy consumption is the most influential variable, contributing to a predicted 67.5...

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Bibliographic Details
Main Authors: Mohamed F. Abd El-Aal, Hasan Amin Mohamed Mahmoud, Abdelsamiea Tahsin Abdelsamiea, Marwa Samir Hegazy
Format: Article
Language:English
Published: EconJournals 2024-07-01
Series:International Journal of Energy Economics and Policy
Subjects:
Machine Learning, Renewable Energy, Nonrenewable Energy, Nuclear Energy, Global Gross Domestic Product
Online Access:https://econjournals.com/index.php/ijeep/article/view/15833

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https://econjournals.com/index.php/ijeep/article/view/15833

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