Advanced Search
Article Contents
ABOUT THIS ARTICLE
Energy Use > 2026 Vol. 2 > No. 1 > 100044
Next Article Previous Article
LETTER   Open Access     Cite

From Operational Byproduct to System Production Factor: The Evolving Role of Power Data in Future Power Systems

  • 1.

    School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 210000, China

  • 2.

    Smart Grid Research Institute, Nanjing Institute of Technology, Nanjing 210000, China

  • 3.

    Beijing Institute of Technology, Energy and Transportation Domain Zhuhai 519088, China

    • Fund Project: This work was supported by the Open Fund of the Jiangsu Collaborative Innovation Center for Smart Distribution Network Technology and Equipment (XTCX202504) and the Open Fund of the Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (China Three Gorges University) (2025KJX03).
More Information
  • Corresponding author: 13851424346@163.com 
  • Received Date:  February 26, 2026
    Accepted Date:  March 23, 2026
    Published Online:  March 25, 2026
Energy Use  2(1),  https://doi.org/10.59717/ipj.energy-use.2026.100044  |  Cite this article
    • FullText(HTML)
  • 加载中
    • REFERENCES
  • [1] Gorman W., Kemp J. M., Rand J., et al. (2025). Grid connection barriers to renewable energy deployment in the United States. Joule 9:101791. DOI:10.1016/j.joule.2024.11.008

    View in Article CrossRef Google Scholar

    [2] Lee H. P., et al. (2026). Integrating distributed energy resources in power distribution systems: A comprehensive review of impacts, challenges, and opportunities from a distribution system operator’s perspective. Appl. Energy 403:127052. DOI:10.1016/j.apenergy.2025.127052

    View in Article CrossRef Google Scholar

    [3] Zhang X., Ge S., Zhou Y., et al. (2024). Deep Learning Framework for Low-Observable Distribution System State Estimation With Multitimescale Measurements. IEEE Trans. Ind. Inform 20:13273−13283. DOI:10.1109/TII.2024.3435430

    View in Article CrossRef Google Scholar

    [4] Poudel S., Sharma P., Parchure A., et al. (2025). Risk-Aware Planning of Power Distribution Systems Using Scalable Cloud Technologies. arXiv. Available online: https://arxiv.org/abs/2503.14730.

    View in Article Google Scholar

    [5] Foroughi M., Bagherpour M., Eliassen F., et al. (2024). Autonomy as empowerment: A taxonomic framework for analyzing energy autonomy in local flexibility markets. Appl. Energy 389:125777. DOI:10.1016/j.apenergy.2025.125777

    View in Article CrossRef Google Scholar

    [6] Kekatos V., Annin R., Singh M.K., et al. (2023). Scheduling distributed energy resources under limited observability of distribution grids. Sustain. Energy Grids Netw. 34:101035. DOI:10.1016/j.segan.2023.101035

    View in Article CrossRef Google Scholar

    [7] Sun Q., Ma H., Zhao T., et al. (2024). Break down the decentralization-security-privacy trilemma in management of distributed energy systems. Nat. Commun. 15:4508. DOI:10.1038/s41467-024-48860-7

    View in Article CrossRef Google Scholar

    [8] Kesici M., Pal B. and Yang G. (2024). Detection of false data injection attacks in distribution networks: A vertical federated learning approach. IEEE Trans. Smart Grid 15:5952−5964. DOI:10.1109/TSG.2024.3403178

    View in Article CrossRef Google Scholar

    [9] Niu J. and Li X. (2023). A framework for quantifying the value of information to mitigate risk in the optimal design of distributed energy systems under uncertainty. Appl. Energy 350:121717. DOI:10.1016/j.apenergy.2023.121717

    View in Article CrossRef Google Scholar

    • Cited by

  • Cite this article:

    Xu L., Liu H., Yang S., et al. (2026). From Operational Byproduct to System Production Factor: The Evolving Role of Power Data in Future Power Systems. Energy Use 2:100044. https://doi.org/10.59717/ipj.energy-use.2026.100044
    Xu L., Liu H., Yang S., et al. (2026). From Operational Byproduct to System Production Factor: The Evolving Role of Power Data in Future Power Systems. Energy Use 2:100044. https://doi.org/10.59717/ipj.energy-use.2026.100044

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

PDF
Figures(1)    

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(343) PDF downloads(241)

Relative Articles

Cited by

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Website copyright © Innovation Press. Published articles are licensed under CC BY with copyright retained by the authors.