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Confidentiality preservation in user-side integrated energy system management for cloud computing

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Listed:
  • Tian, Nianfeng
  • Ding, Tao
  • Yang, Yongheng
  • Guo, Qinglai
  • Sun, Hongbin
  • Blaabjerg, Frede

Abstract

Under the development of information and communication technologies, this paper discusses a cloud-based user-side integrated energy management to improve the energy utilization efficiency in a smart community, for which a two-level model is proposed that relies on an energy hub and load aggregators. Furthermore, to address the issue of preserving confidentiality for the cloud service, an information-masking mechanism is designed based on linear mapping functions, whose information-masking requirements and processes are specified accordingly. Numerical results demonstrate the effectiveness of the proposed model and of the method for cloud computing.

Suggested Citation

  • Tian, Nianfeng & Ding, Tao & Yang, Yongheng & Guo, Qinglai & Sun, Hongbin & Blaabjerg, Frede, 2018. "Confidentiality preservation in user-side integrated energy system management for cloud computing," Applied Energy, Elsevier, vol. 231(C), pages 1230-1245.
    • Handle: RePEc:eee:appene:v:231:y:2018:i:c:p:1230-1245
    DOI: 10.1016/j.apenergy.2018.09.068
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    References listed on IDEAS

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    Cited by:

    1. Feng, Chenjia & Shao, Chengcheng & Wang, Xifan, 2021. "CSP clustering in unit commitment for power system production cost modeling," Renewable Energy, Elsevier, vol. 168(C), pages 1217-1228.
    2. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    3. Xueying Song & Hongyu Lin & Gejirifu De & Hanfang Li & Xiaoxu Fu & Zhongfu Tan, 2020. "An Energy Optimal Dispatching Model of an Integrated Energy System Based on Uncertain Bilevel Programming," Energies, MDPI, vol. 13(2), pages 1-24, January.

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