RNfinity RNfinity
Home News
View Ebooks View Articles
Personality Tests Calculators Quizzes Sitemap Builder Pubmed Search ARXIV Search
About Registration Help Submission Help
Submit Article Submit Ebook
Contact Login Register
Menu
Home News View Ebooks View Articles Personality Tests Calculators Quizzes Sitemap Builder Pubmed Search ARXIV Search About Registration Help Submission Help Submit Article Submit Ebook Contact Login Register

Physics Maths Engineering

A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations

rnfinity

info@rnfinity.com

orcid logo

Hassan Qudrat-Ullah

Hassan Qudrat-Ullah

School of Administrative Studies, York University, Toronto, ON M3J 1P3, Canada


  Peer Reviewed

copyright icon

© attribution CC-BY

  • 0

rating
1 Views

Added on

2026-02-09

Doi: https://doi.org/10.3390/en18092239

Abstract

The growing global energy demand and the pursuit of sustainability highlight the transformative potential of artificial intelligence (AI) and machine learning (ML) in energy systems. This thematic review explores their applications in energy generation, transmission, and consumption, emphasizing their role in optimizing renewable integration, enhancing operational efficiency, and enabling data-driven decision-making. By employing a thematic approach, this study categorizes and analyzes key challenges and opportunities, including economic considerations, technological advancements, and social implications. While AI/ML technologies offer significant benefits, their adoption in developing nations faces challenges, such as high upfront costs, skill shortages, and infrastructure limitations. Addressing these barriers through capacity building, international collaboration, and adaptive policies is critical to realizing the equitable and sustainable integration of AI/ML in energy systems.

Summary Video Not Available

Review 0

Login

ARTICLE USAGE


Article usage: Feb-2026 to Feb-2026
Show by month Manuscript Video Summary
2026 February 1 1
Total 1 1
Show by month Manuscript Video Summary
2026 February 1 1
Total 1 1
Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology
copyright icon

© attribution CC-BY

  • 0

rating
1 Views

Added on

2026-02-09

Doi: https://doi.org/10.3390/en18092239

Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology

Follow Us

  • Xicon
  • Contact Us
  • Privacy Policy
  • Terms and Conditions

5 Braemore Court, London EN4 0AE | Telephone +442082758777 | info@rnfinity.com |


© Copyright 2026 All Rights Reserved.