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Energy Use > 2026 Vol. 2 > No. 3 > 100063
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Large Language Models for Next-Generation Building Energy Management: From Task-Specific AI to General-Purpose AI

  • 1.

    Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China

  • 2.

    School of Architecture, Tsinghua University, Beijing 100084, China

  • 3.

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

  • 4.

    Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou 310027, China

    • Fund Project: This research was supported by the Start-up Funds for RAPs under the Strategic Hiring Scheme from the Hong Kong Polytechnic University (No. P0057944 and No. P0056060) and General Research Fund of Research Grants Council of Hong Kong SAR (No. 15208625). The research was conducted at the JC STEM Lab of Healthy Built Environment funded by The Hong Kong Jockey Club Charities Trust.
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  • Corresponding author: chaobo.zhang@polyu.edu.hk 
  • Revised Date:  August 14, 2026
    Accepted Date:  September 16, 2026
    Published Online:  September 23, 2026
Energy Use  2(3),  https://doi.org/10.59717/ipj.energy-use.2026.100063  |  Cite this article
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    • REFERENCES
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  • Cite this article:

    Zhang C., Geng Y., Zhang J., et al. (2026). Large Language Models for Next-Generation Building Energy Management: From Task-Specific AI to General-Purpose AI. Energy Use 2:100063. https://doi.org/10.59717/ipj.energy-use.2026.100063
    Zhang C., Geng Y., Zhang J., et al. (2026). Large Language Models for Next-Generation Building Energy Management: From Task-Specific AI to General-Purpose AI. Energy Use 2:100063. https://doi.org/10.59717/ipj.energy-use.2026.100063

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