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AI Computing Loads Reshape Power Systems: Shenzhen Launches the Greater Bay Area Computing–Electricity Coordination Innovation Consortium

  • 1.

    School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    Jiangsu Intelligent Energy Use and Low Carbon Technology Research Institute, Nanjing 211100, China

  • 3.

    Beijing Institute of Technology, Zhuhai 519088, China

  • 4.

    Key Laboratory of Eco Planning & Green Building, Ministry of Education, School of Architecture, Tsinghua University, Beijing 100084, China

  • 5.

    College of Electrical Engineering, Zhejiang University, Zhejiang 316021, China

  • 6.

    China electricity council, Beijing 100761, China

  • 7.

    Shenzhen Energy Innovation Technology Co. Ltd., Shenzhen 518045, China

  • 8.

    School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China

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    Fund Project: This work was supported by the National Natural Science Foundation of China (No. U22B20112) and the 3xd Xplorer prize.
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  • Corresponding author: jshen@bit.edu.cn 
  • Received Date:  September 20, 2026
    Accepted Date:  September 22, 2026
    Published Online:  September 23, 2026
Energy Use  2(3),  https://doi.org/10.59717/ipj.energy-use.2026.100075  |  Cite this article
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    • REFERENCES
  • [1] International Energy Agency. (2025). Energy and AI. IEA.

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  • Cite this article:

    Deng Y., Shen J., Tian R., et al. (2026). AI Computing Loads Reshape Power Systems: Shenzhen Launches the Greater Bay Area Computing–Electricity Coordination Innovation Consortium. Energy Use 2:100075. https://doi.org/10.59717/ipj.energy-use.2026.100075
    Deng Y., Shen J., Tian R., et al. (2026). AI Computing Loads Reshape Power Systems: Shenzhen Launches the Greater Bay Area Computing–Electricity Coordination Innovation Consortium. Energy Use 2:100075. https://doi.org/10.59717/ipj.energy-use.2026.100075

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