A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations
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 the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/9/2239 |
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| _version_ | 1850030700352241664 |
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| author | Hassan Qudrat-Ullah |
| author_facet | Hassan Qudrat-Ullah |
| author_sort | Hassan Qudrat-Ullah |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-15cf2df415d34829aedfef2c49c946ff |
| institution | DOAJ |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-15cf2df415d34829aedfef2c49c946ff2025-08-20T02:59:08ZengMDPI AGEnergies1996-10732025-04-01189223910.3390/en18092239A Thematic Review of AI and ML in Sustainable Energy Policies for Developing NationsHassan Qudrat-Ullah0School of Administrative Studies, York University, Toronto, ON M3J 1P3, CanadaThe 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.https://www.mdpi.com/1996-1073/18/9/2239artificial intelligence (AI)machine learning (ML)energy systemsrenewable energy integrationsustainable energy policiesdeveloping nations |
| spellingShingle | Hassan Qudrat-Ullah A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations Energies artificial intelligence (AI) machine learning (ML) energy systems renewable energy integration sustainable energy policies developing nations |
| title | A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations |
| title_full | A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations |
| title_fullStr | A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations |
| title_full_unstemmed | A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations |
| title_short | A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations |
| title_sort | thematic review of ai and ml in sustainable energy policies for developing nations |
| topic | artificial intelligence (AI) machine learning (ML) energy systems renewable energy integration sustainable energy policies developing nations |
| url | https://www.mdpi.com/1996-1073/18/9/2239 |
| work_keys_str_mv | AT hassanqudratullah athematicreviewofaiandmlinsustainableenergypoliciesfordevelopingnations AT hassanqudratullah thematicreviewofaiandmlinsustainableenergypoliciesfordevelopingnations |