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

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

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

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.

Original languageEnglish
Pages (from-to)1230-1245
Number of pages16
JournalApplied Energy
Volume231
DOIs
StatePublished - 1 Dec 2018

Keywords

  • Cloud computing
  • Energy hub
  • Information masking
  • Integrated energy management

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