Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applications
Abstract The investigation into intelligent acceptance systems for distribution automation terminals has spanned over a decade, furnishing indispensable assistance to the power industry. The integration of cutting-edge edge computing technologies into these systems has presented efficacious, low-lat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-10-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-023-00529-0 |
| _version_ | 1797556452285480960 |
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| author | Mingzeng Zhu Mingzhen Liang Hefeng Li Ying Lu Min Pang |
| author_facet | Mingzeng Zhu Mingzhen Liang Hefeng Li Ying Lu Min Pang |
| author_sort | Mingzeng Zhu |
| collection | DOAJ |
| description | Abstract The investigation into intelligent acceptance systems for distribution automation terminals has spanned over a decade, furnishing indispensable assistance to the power industry. The integration of cutting-edge edge computing technologies into these systems has presented efficacious, low-latency, and energy-efficient remedies. This paper provides a comprehensive review and synthesis of research achievements in the field of intelligent acceptance systems for distribution automation terminals over the past few years. Firstly, this paper introduces the definition, composition, functions, and significance of distribution automation terminals, analyzes the advantages of employing edge computing in this domain, and elaborates on the design and implementation of intelligent acceptance systems based on edge computing technology. Additionally, this paper examines the technical challenges, security, and privacy issues associated with the application of edge computing in intelligent acceptance systems and proposes practical solutions. Finally, this paper summarizes the contributions and significance of this paper and provides an outlook on future research directions. It is evident from the review that the integration of edge computing has effectively alleviated these challenges, but new issues await resolution. |
| first_indexed | 2024-03-10T17:02:06Z |
| format | Article |
| id | doaj.art-a8136263bcf14eb685cdee1ea7a2ddd0 |
| institution | Directory Open Access Journal |
| issn | 2192-113X |
| language | English |
| last_indexed | 2024-03-10T17:02:06Z |
| publishDate | 2023-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj.art-a8136263bcf14eb685cdee1ea7a2ddd02023-11-20T10:56:10ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2023-10-0112112310.1186/s13677-023-00529-0Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applicationsMingzeng Zhu0Mingzhen Liang1Hefeng Li2Ying Lu3Min Pang4Hezhou Power Supply Bureau of Guangxi Power Grid Company LimitedHezhou Power Supply Bureau of Guangxi Power Grid Company LimitedHezhou Power Supply Bureau of Guangxi Power Grid Company LimitedHezhou Power Supply Bureau of Guangxi Power Grid Company LimitedHezhou Power Supply Bureau of Guangxi Power Grid Company LimitedAbstract The investigation into intelligent acceptance systems for distribution automation terminals has spanned over a decade, furnishing indispensable assistance to the power industry. The integration of cutting-edge edge computing technologies into these systems has presented efficacious, low-latency, and energy-efficient remedies. This paper provides a comprehensive review and synthesis of research achievements in the field of intelligent acceptance systems for distribution automation terminals over the past few years. Firstly, this paper introduces the definition, composition, functions, and significance of distribution automation terminals, analyzes the advantages of employing edge computing in this domain, and elaborates on the design and implementation of intelligent acceptance systems based on edge computing technology. Additionally, this paper examines the technical challenges, security, and privacy issues associated with the application of edge computing in intelligent acceptance systems and proposes practical solutions. Finally, this paper summarizes the contributions and significance of this paper and provides an outlook on future research directions. It is evident from the review that the integration of edge computing has effectively alleviated these challenges, but new issues await resolution.https://doi.org/10.1186/s13677-023-00529-0Distribution automation terminalsIntelligent acceptance systemsEdge computing |
| spellingShingle | Mingzeng Zhu Mingzhen Liang Hefeng Li Ying Lu Min Pang Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applications Journal of Cloud Computing: Advances, Systems and Applications Distribution automation terminals Intelligent acceptance systems Edge computing |
| title | Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applications |
| title_full | Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applications |
| title_fullStr | Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applications |
| title_full_unstemmed | Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applications |
| title_short | Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applications |
| title_sort | intelligent acceptance systems for distribution automation terminals an overview of edge computing technologies and applications |
| topic | Distribution automation terminals Intelligent acceptance systems Edge computing |
| url | https://doi.org/10.1186/s13677-023-00529-0 |
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