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Energy Use > 2025 Vol. 1 > No. 2 > 100019
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Unlocking Building Energy Flexibility: Multi-Layered Pricing Framework Design from Distribution-Level to P2P Markets

  • 1.

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

  • 2.

    Research Institute of Smart Energy, The Hong Kong Polytechnic University, Hong Kong SAR, China

  • 3.

    Institute for Environmental Design and Engineering, University College London, London WC1E 6BT, UK

    • Fund Project: The authors gratefully acknowledge the financial support of a General Research Fund (152259/24E) of the Hong Kong Research Grant Council (RGC) and a Start-up Fund under the Strategic Hiring Scheme of The Hong Kong Polytechnic University.
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  • Corresponding author: beswwang@polyu.edu.hk 
  • Received Date:  December 01, 2025
    Accepted Date:  December 10, 2025
    Published Online:  December 26, 2025
Energy Use  1(2),  https://doi.org/10.59717/ipj.energy-use.2025.100019  |  Cite this article
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    • REFERENCES
  • [1] Lynch MÁ. and Bertsch V. (2025). Lessons from wholesale market success for system service procurement design in high renewable electricity markets. Nat. Energy 10:166−71. DOI:10.1038/s41560-024-01699-0

    View in Article CrossRef Google Scholar

    [2] Lin H., Guo Y., Shen X., et al. (2025). A semi-uniform pricing method for VPPs in electricity markets based on power-reserve flexibility regions. Appl. Energy 401:126653. DOI:10.1016/j.apenergy.2025.126653

    View in Article CrossRef Google Scholar

    [3] Tang H., Chen Z., Li H., et al. (2025). Risk-aware optimal dispatch of resource aggregators integrating ngboost-based probabilistic renewable forecasting and bi-level building flexibility engagements. Engineering 53:76−89. DOI:10.1016/j.eng.2025.02.009

    View in Article CrossRef Google Scholar

    [4] Sun G., Chen X., Zhou Y., et al. (2024). Decentralized distributionally robust energy and reserve co-optimization of smart building clusters with virtual energy storage capability. Energy Build. 309:114040. DOI:10.1016/j.enbuild.2024.114040

    View in Article CrossRef Google Scholar

    [5] Qi T., Hui H., Ye C., et al. (2024). Bidding Mechanism Design for Building Virtual Power Plant to Participate in Demand Response Markets. Auto. Electr. Power Sys. 48:14−24. DOI:10.7500/AEPS20240313002

    View in Article CrossRef Google Scholar

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  • Cite this article:

    Tang H., Lian X., Wang S., et al. (2025). Unlocking Building Energy Flexibility: Multi-Layered Pricing Framework Design from Distribution-Level to P2P Markets. Energy Use 1:100019. https://doi.org/10.59717/ipj.energy-use.2025.100019
    Tang H., Lian X., Wang S., et al. (2025). Unlocking Building Energy Flexibility: Multi-Layered Pricing Framework Design from Distribution-Level to P2P Markets. Energy Use 1:100019. https://doi.org/10.59717/ipj.energy-use.2025.100019

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