Artificial Intelligence as a Key Driver of Energy Security Transformation
This article explores the impact of artificial intelligence (AI) on energy security, defined as reducing the vulnerability of critical energy systems. It analyzes existing AI-driven initiatives in the energy sector, including demand forecasting, intelligent energy system management, grid infrastruct...
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| Format: | Article |
| Language: | Russian |
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Centre of Regional Research
2025-04-01
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| Series: | Проблемы постсоветского пространства |
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| Online Access: | https://www.postsovietarea.com/jour/article/view/474 |
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| author | R. A. Aliyev |
| author_facet | R. A. Aliyev |
| author_sort | R. A. Aliyev |
| collection | DOAJ |
| description | This article explores the impact of artificial intelligence (AI) on energy security, defined as reducing the vulnerability of critical energy systems. It analyzes existing AI-driven initiatives in the energy sector, including demand forecasting, intelligent energy system management, grid infrastructure optimization, and predictive maintenance. Special attention is given to issues of digital sovereignty and cybersecurity, as dependence on foreign technological solutions may pose additional risks to energy stability.One of the promising directions proposed in the article is the Caspian Digital InformationAnalytical Platform, designed to integrate data on energy production, transportation, and consumption in the region. AI implementation within this platform will enable real-time analysis of energy flows, identification of potential crises, and promotion of sustainable energy system development among Caspian states.The article emphasizes that the successful digital transformation of the energy sector requires a comprehensive approach, including the development of digital infrastructure, regulatory frameworks, and professional training programs. The advancement of regional AI-based energy resource management platforms may become a crucial step toward establishing a global energy security architecture that combines reliability, efficiency, and environmental sustainability. |
| format | Article |
| id | doaj-art-db677908d0c34ffea841e8befebb8de7 |
| institution | Matheson Library |
| issn | 2313-8920 2587-8174 |
| language | Russian |
| publishDate | 2025-04-01 |
| publisher | Centre of Regional Research |
| record_format | Article |
| series | Проблемы постсоветского пространства |
| spelling | doaj-art-db677908d0c34ffea841e8befebb8de72025-08-04T12:53:31ZrusCentre of Regional ResearchПроблемы постсоветского пространства2313-89202587-81742025-04-01121304810.24975/2313-8920-2025-12-1-30-48382Artificial Intelligence as a Key Driver of Energy Security TransformationR. A. Aliyev0MGIMO University, Ministry of Foreign Affairs of Russia; Commission on Sustainable Development and Ecology of the Russian Academy of Sciences under the UNThis article explores the impact of artificial intelligence (AI) on energy security, defined as reducing the vulnerability of critical energy systems. It analyzes existing AI-driven initiatives in the energy sector, including demand forecasting, intelligent energy system management, grid infrastructure optimization, and predictive maintenance. Special attention is given to issues of digital sovereignty and cybersecurity, as dependence on foreign technological solutions may pose additional risks to energy stability.One of the promising directions proposed in the article is the Caspian Digital InformationAnalytical Platform, designed to integrate data on energy production, transportation, and consumption in the region. AI implementation within this platform will enable real-time analysis of energy flows, identification of potential crises, and promotion of sustainable energy system development among Caspian states.The article emphasizes that the successful digital transformation of the energy sector requires a comprehensive approach, including the development of digital infrastructure, regulatory frameworks, and professional training programs. The advancement of regional AI-based energy resource management platforms may become a crucial step toward establishing a global energy security architecture that combines reliability, efficiency, and environmental sustainability.https://www.postsovietarea.com/jour/article/view/474artificial intelligenceenergy securitydigital transformationintelligent energy systemsenergy demand forecastingcybersecuritycaspian digital platform |
| spellingShingle | R. A. Aliyev Artificial Intelligence as a Key Driver of Energy Security Transformation Проблемы постсоветского пространства artificial intelligence energy security digital transformation intelligent energy systems energy demand forecasting cybersecurity caspian digital platform |
| title | Artificial Intelligence as a Key Driver of Energy Security Transformation |
| title_full | Artificial Intelligence as a Key Driver of Energy Security Transformation |
| title_fullStr | Artificial Intelligence as a Key Driver of Energy Security Transformation |
| title_full_unstemmed | Artificial Intelligence as a Key Driver of Energy Security Transformation |
| title_short | Artificial Intelligence as a Key Driver of Energy Security Transformation |
| title_sort | artificial intelligence as a key driver of energy security transformation |
| topic | artificial intelligence energy security digital transformation intelligent energy systems energy demand forecasting cybersecurity caspian digital platform |
| url | https://www.postsovietarea.com/jour/article/view/474 |
| work_keys_str_mv | AT raaliyev artificialintelligenceasakeydriverofenergysecuritytransformation |