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Generalizable Data-Driven Building Operation Control Methods for Scalable Cross-Building Applications

  • 1.

    State Key Laboratory of Subtropical Building and Urban Science, Shenzhen University, Shenzhen 518060, China

  • 2.

    Key Laboratory of Coastal Urban Resilient Infrastructures, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China

  • 3.

    Department of Energy, TEBE research group, BAEDA Lab, Politecnico di Torino, Italy

    • Fund Project: The authors gratefully acknowledge the support of this research by the National Natural Science Foundation of China (No. 52578137, 52278117), Guangdong Basic and Applied Basic Research Foundation (2024A1515011549) and Shenzhen Science and Technology Program (No. 20220531101800001, 20240813143330039).
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  • Corresponding author: mojinhan@szu.edu.cn
  • Received Date:  August 22, 2025
    Accepted Date:  September 05, 2025
    Published Online:  September 25, 2025
Energy Use  1(1),  https://doi.org/10.59717/ipj.energy-use.2025.100008  |  Cite this article
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    • REFERENCES
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  • Cite this article:

    Fan C., Lei Y., Piscitelli M. S., et al. (2025). Generalizable Data-Driven Building Operation Control Methods for Scalable Cross-Building Applications. Energy Use 1:100008. https://doi.org/10.59717/ipj.energy-use.2025.100008
    Fan C., Lei Y., Piscitelli M. S., et al. (2025). Generalizable Data-Driven Building Operation Control Methods for Scalable Cross-Building Applications. Energy Use 1:100008. https://doi.org/10.59717/ipj.energy-use.2025.100008

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