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<p>Ensuring a secure and reliable energy supply is essential for achieving sustainable development goals. Artificial intelligence (AI) can enhance energy security by optimizing energy systems, improving efficiency, and strengthening infrastructure resilience. This study explores AI’s contribution to energy security and its impact on key United Nations Sustainable Development Goals (SDGs), specifically SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 13 (Climate Action), based on data from 52 countries (2012–2021). The research constructs an energy security index, considering renewable energy adoption, availability, and environmental impact. The findings reveal significant disparities in energy security, with progress in electricity access and infrastructure, but persistent challenges in regions dependent on fossil fuels or underdeveloped systems. The study shows that no country has yet achieved universal energy security. Regression analysis indicates that Artificial Intelligence in the Energy Sector (AIPE) increases energy security by 0.446 to 6.97%. AI investments raise energy security by 1.68 to 8.39%, while AI research contributes 8.58%. These results highlight the significant role of AI investments and research in improving energy security, with AI research having the largest impact. However, socio-economic factors such as income inequality and inflation limit AI’s full potential.</p>

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Leveraging energy-sector artificial intelligence to enhance energy security and achieve sustainable development goals

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月11日

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  • Rizwana Yasmeen,
  • Rui Tao

摘要

Ensuring a secure and reliable energy supply is essential for achieving sustainable development goals. Artificial intelligence (AI) can enhance energy security by optimizing energy systems, improving efficiency, and strengthening infrastructure resilience. This study explores AI’s contribution to energy security and its impact on key United Nations Sustainable Development Goals (SDGs), specifically SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 13 (Climate Action), based on data from 52 countries (2012–2021). The research constructs an energy security index, considering renewable energy adoption, availability, and environmental impact. The findings reveal significant disparities in energy security, with progress in electricity access and infrastructure, but persistent challenges in regions dependent on fossil fuels or underdeveloped systems. The study shows that no country has yet achieved universal energy security. Regression analysis indicates that Artificial Intelligence in the Energy Sector (AIPE) increases energy security by 0.446 to 6.97%. AI investments raise energy security by 1.68 to 8.39%, while AI research contributes 8.58%. These results highlight the significant role of AI investments and research in improving energy security, with AI research having the largest impact. However, socio-economic factors such as income inequality and inflation limit AI’s full potential.