•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

artificial intelligence, energy security, application scenarios, energy strategy

Abstract

Against the backdrop of unprecedented changes in a century, geopolitical restructuring has led to the fragmentation of energy game camps, climate change has impacted the resilience of energy infrastructure, and energy transformation has promoted the multidimensional and coordinated expansion of security connotations. Artificial intelligence, with its core advantages such as optimizing geopolitical risk prevention and control, enhancing infrastructure protection, improving energy system efficiency, and accelerating the integration of renewable energy, has promoted the shift of energy security strategy from experience driven to data-driven intelligence, achieving comprehensive risk identification, dynamic evaluation, collaborative response, and full chain monitoring, significantly improving the efficiency, resilience, and risk resistance of the energy system. At the application level, artificial intelligence deeply empowers the four key scenarios of energy market, energy trade, energy investment, and energy supply chain, and constructs intelligent solutions for energy security strategy. Looking towards the future, artificial intelligence is driving the transition of energy security from resource dependent to data-driven through a dual track approach of technological empowerment and institutional innovation, and reconstructing the global energy governance paradigm. It is also necessary to overcome challenges such as interpretability and algorithm risks in artificial intelligence applications, promote its transition from “usable” to “trustworthy”, and provide core support for global energy transformation and sustainable development.

First page

1638

Last Page

1649

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

[1] 陈威, 田永乐, 白春光, 等. 考虑极端天气的电力供应链可再生能源维护策略研究. 中国管理科学, 2025, 33(9): 359-368. Chen W, Tian Y L, Bai C G, et al. Renewable energy maintenance strategies for power supply chain considering extreme weather. Chinese Journal of Management Science, 2025, 33(9): 359-368. (in Chinese)

[2] Bennett J A, Trevisan C N, DeCarolis J F, et al. Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico. Nature Energy, 2021, 6(3): 240-249.

[3] Perera A T D, Nik V M, Chen D, et al. Quantifying the impacts of climate change and extreme climate events on energy systems. Nature Energy, 2020, 5(2): 150-159.

[4] 刘亚军, 王铜琴. 碳泄漏国际治理及中国的适应性选择. 学术探索, 2024, (11): 43-52. Liu Y J, Wang T Q. International governance of carbon leakage and China's adaptive choices. Academic Exploration, 2024, (11): 43-52. (in Chinese)

[5] 陈海生, 刘畅, 齐智平. 分布式储能的发展现状与趋势. 中国科学院院刊, 2016, 31(2): 224-231. Chen H S, Liu C, Qi Z P. Developing trend and present status of distributed energy storage. Bulletin of Chinese Academy of Sciences, 2016, 31(2): 224-231. (in Chinese)

[6] 刘逸伦, 黄微, 周东阳. 基于敏捷理论的政府应急情报服务能力评价研究. 现代情报, 2025, 45(6): 87-101. Liu Y L, Huang W, Zhou D Y. Research on the evaluation of the government's emergency intelligence service capability based on the agile theory. Journal of Modern Information, 2025, 45(6): 87-101. (in Chinese)

[7] 余东华, 李云汉. 数字经济时代的产业组织创新——以数字技术驱动的产业链群生态体系为例. 改革, 2021, (7): 24-43. Yu D H, Li Y H. The innovation of industrial organization in the era of digital economy: Research on industrial chain-cluster ecosystem driven by digital technology. Reform, 2021, (7): 24-43. (in Chinese)

[8] 安博文, 许培源, 李海赫, 等. 中国能源新质生产力的统计测度与区域协调特征分析. 统计与决策, 2025, 41(7): 29-34. An B W, Xu P Y, Li H H, et al. Statistical measurement and regional coordination characteristics of energy new quality productive forces in China. Statistics & Decision, 2025, 41(7): 29-34. (in Chinese)

[9] 张秀武, 沈洋. 人工智能对减污降碳协同治理的影响效应及作用机制研究. 现代财经（天津财经大学学报）, 2025, 45(5): 77-94. Zhang X W, Shen Y. Study on the impact effects and mechanisms of artificial intelligence on synergistic governance of pollution abatement and carbon mitigation. Modern Finance and Economics-Journal of Tianjin University of Finance and Economics, 2025, 45(5): 77-94. (in Chinese)

[10] 潘教峰, 鲁晓, 刘慧晖. 智库双螺旋法的"十个关键问题". 中国科学院院刊, 2022, 37(2): 141-152. Pan J F, Lu X, Liu H H. "Ten key issues" of think tank double helix methodology. Bulletin of Chinese Academy of Sciences, 2022, 37(2): 141-152. (in Chinese)

[11] 潘教峰, 林慧. 人工智能正在引发智能革命. 财经智库, 2024, 9(3): 79-96. Pan J F, Lin H. Artificial intelligence is sparking an intelligent revolution. Financial Minds, 2024, 9(3): 79-96. (in Chinese)

[12] 谢萌萌, 夏炎, 潘教峰, 等. 人工智能、技术进步与低技能就业——基于中国制造业企业的实证研究. 中国管理科学, 2020, 28(12): 54-66. Xie M M, Xia Y, Pan J F, et al. Artificial intelligence, technological change and low-skill employment: Empirical evidence from Chinese manufacturing firms. Chinese Journal of Management Science, 2020, 28(12): 54-66. (in Chinese)

[13] 刘艳秋, 韩俊敏, 王建国, 等. 人工智能专利技术分布、演化及合作创新网络分析. 中国科技论坛, 2021, (3): 64-74. Liu Y Q, Han J M, Wang J G, et al. Analysis on the distribution, evolution and cooperative innovation network of artificial intelligence patent technology. Forum on Science and Technology in China, 2021, (3): 64-74. (in Chinese)

[14] 邓荣荣, 肖湘涛. 工业智能化对城市绿色生态效率的影响——基于工业机器人数据的实证研究. 当代经济研究, 2023, (10): 98-113. Deng R R, Xiao X T. The impact of industrial intelligence on urban green eco-efficiency—An empirical study based on industrial robot data. Contemporary Economic Research, 2023, (10): 98-113. (in Chinese)

[15] 王霞, 张嘉曦. 扩员后金砖国家能源贸易安全网络体系构建与思考. 价格月刊, 2024, (7): 68-78. Wang X, Zhang J X. Construction and thinking of BRICS energy trade security network system after membership expansion. Prices Monthly, 2024, (7): 68-78. (in Chinese)

[16] 周利敏. 面向人工智能时代的经济风险管理——兼论典型案例. 北京行政学院学报, 2020, (4): 85-92. Zhou L M. Economic risk management in the era of artificial intelligence: Typical cases study. Journal of Beijing Administration Institute, 2020, (4): 85-92. (in Chinese)

[17] Song Y G, Wang Z Q, Song C Q, et al. Impact of artificial intelligence on renewable energy supply chain vulnerability: Evidence from 61 countries. Energy Economics, 2024, 131: 107357.

[18] 潘教峰. 新一代人工智能给国家治理带来新机遇. 智慧中国, 2023, (11): 28-29. Pan J F. The new generation of artificial intelligence brings new opportunities to national governance. Wisdom China, 2023, (11): 28-29. (in Chinese)

[19] Pavlidis G. Unlocking the black box: Analyzing the EU artificial intelligence act's framework for explainability in AI. Law, Innovation and Technology, 2024, 16(1): 293-308.

[20] Gupta S. AI agents collaboration under resource constraints: Practical implementations. International Journal of Artificial Intelligence Research and Development, 2025, 3(1): 51-63.

Download
Request a Copy

Share

COinS