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Cited by 297IoT and Edge/Fog ComputingSmart Grid and Power SystemsSmart Grid Energy Management

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Internet of Things Based Smart Grids Supported by Intelligent Edge Computing

Open access
Chen, Songlin, Wen, Hong, Wu, Jinsong, Lei, Wenxin, Hou, Wenjing, Liu, Wenjie, Xu, Aidong, Jiang, Yixin·2019·IEEE Access
DOI 10.1109/access.2019.2920488
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Abstract

In this paper, an edge computing system for IoT-based (Internet of Things) smart grids is proposed to overcome the drawbacks in the current cloud computing paradigm in power systems, where many problems have yet to be addressed such as fully realizing the requirements of high bandwidth with low latency. The new system mainly introduces edge computing in the traditional cloud-based power system and establishes a new hardware and software architecture. Therefore, a considerable amount of data generated in the electrical grid will be analyzed, processed, and stored at the edge of the network. Aided with edge computing paradigm, the IoT-based smart grids will realize the connection and management of substantial terminals, provide the real-time analysis and processing of massive data, and foster the digitalization of smart grids. In addition, we propose a privacy protection strategy via edge computing, data prediction strategy, and preprocessing strategy of hierarchical decision-making based on task grading (HDTG) for the IoT-based smart girds. The effectiveness of our proposed approaches has been demonstrated via the numerical simulations.

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References 35 · Cited by 297

Research works printed but not linked: 35

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Metadata

Authors
Chen, S., Wen, H., Wu, J., Lei, W., Hou, W., Liu, W., Xu, A., & Jiang, Y.
Affiliations
  • University of Electronic Science and Technology of China (CN)
  • University of Chile (CL)
  • China Southern Power Grid (China) (CN)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019
Volume
7
Pages
74089-74102
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2019.2920488
OpenAlex
W2948332817
Cited by
297
References
35
Citations by year
2026: 12 · 2025: 20 · 2024: 38 · 2023: 50 · 2022: 53 · 2021: 71 · 2020: 42 · 2019: 11
FWCI
24.23
Type
journal article
Language
en
Open access
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html (vor)
Locations
  • IEEE Access (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Universidad de Chile (submittedVersion, cc-by-nc-nd)
Funders
  • National Natural Science Foundation of China (61572114)
  • National Major R&D Program (2018YFB0904900, 2018YFB0904905)
  • Chile CONICYT (Fondecyt Regular 181809)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
Keywords
Internet of Things, smart grid, edge computing, cloud computing, low latency, privacy preservation, data prediction, hierarchical decision-making, real-time data processing, digitalization of power systems

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CoChat. (2026). Citation check: Internet of Things Based Smart Grids Supported by Intelligent Edge Computing. https://app.cochat.ai/papers/10.1109/access.2019.2920488
The paper
Chen, S., Wen, H., Wu, J., Lei, W., Hou, W., Liu, W., Xu, A., & Jiang, Y. (2019). Internet of Things Based Smart Grids Supported by Intelligent Edge Computing. IEEE Access. https://doi.org/10.1109/access.2019.2920488