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 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. 

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