Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things

Power Internet of Things (abbreviated as PIoT) is the information infrastructure to provide ubiquitous perception ability for smart grid (abbreviated as SG). To better deploy and utilize PIoT, its perception ability must be comprehensively assessed in terms of technical performance and economic bene...

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Autores principales: Yuanshuo Zheng, Shujuan Sun, Chenyang Li, Jingtang Luo, Jiuling Dong, Yudong Wang, Xiaolong Yang
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/b0935a8973904a37ba400fa97791a7dc
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spelling oai:doaj.org-article:b0935a8973904a37ba400fa97791a7dc2021-11-08T02:36:55ZTechnoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things1939-012210.1155/2021/5499653https://doaj.org/article/b0935a8973904a37ba400fa97791a7dc2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5499653https://doaj.org/toc/1939-0122Power Internet of Things (abbreviated as PIoT) is the information infrastructure to provide ubiquitous perception ability for smart grid (abbreviated as SG). To better deploy and utilize PIoT, its perception ability must be comprehensively assessed in terms of technical performance and economic benefits. However, at present, there is no assessment framework for PIoT due to the high diversity and heterogeneousness of SG scenarios. Additionally, there is information overlap between metrics in the assessment framework. The assessment model which could remove redundant information between metrics and simplify the assessment framework is an urgent demand to improve the effectiveness and timeliness of assessment. Consequently, first, aiming at the power system requirements of complex and diverse, a general assessment framework is put forward to assess the ability of PIoT in terms of technology and economy. Next, the requirement characteristics of power distribution scenario (abbreviated as PDS) are precisely analyzed with active context-knowledge orchestration technology. The general assessment framework is instantiated to build an instantiation assessment scheme in PDS. Moreover, an assessment model is established based on the instantiation assessment scheme to assess the efficiency of PIoT in Beijing. Finally, the assessment model is further refined with the machine learning technology to improve the efficiency of assessment. This refinement model achieves the extraction of 4-dimensional metrics from 23-dimensional metrics for assessment and finally improves assessment efficiency by 82.6%.Yuanshuo ZhengShujuan SunChenyang LiJingtang LuoJiuling DongYudong WangXiaolong YangHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
Science (General)
Q1-390
spellingShingle Technology (General)
T1-995
Science (General)
Q1-390
Yuanshuo Zheng
Shujuan Sun
Chenyang Li
Jingtang Luo
Jiuling Dong
Yudong Wang
Xiaolong Yang
Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things
description Power Internet of Things (abbreviated as PIoT) is the information infrastructure to provide ubiquitous perception ability for smart grid (abbreviated as SG). To better deploy and utilize PIoT, its perception ability must be comprehensively assessed in terms of technical performance and economic benefits. However, at present, there is no assessment framework for PIoT due to the high diversity and heterogeneousness of SG scenarios. Additionally, there is information overlap between metrics in the assessment framework. The assessment model which could remove redundant information between metrics and simplify the assessment framework is an urgent demand to improve the effectiveness and timeliness of assessment. Consequently, first, aiming at the power system requirements of complex and diverse, a general assessment framework is put forward to assess the ability of PIoT in terms of technology and economy. Next, the requirement characteristics of power distribution scenario (abbreviated as PDS) are precisely analyzed with active context-knowledge orchestration technology. The general assessment framework is instantiated to build an instantiation assessment scheme in PDS. Moreover, an assessment model is established based on the instantiation assessment scheme to assess the efficiency of PIoT in Beijing. Finally, the assessment model is further refined with the machine learning technology to improve the efficiency of assessment. This refinement model achieves the extraction of 4-dimensional metrics from 23-dimensional metrics for assessment and finally improves assessment efficiency by 82.6%.
format article
author Yuanshuo Zheng
Shujuan Sun
Chenyang Li
Jingtang Luo
Jiuling Dong
Yudong Wang
Xiaolong Yang
author_facet Yuanshuo Zheng
Shujuan Sun
Chenyang Li
Jingtang Luo
Jiuling Dong
Yudong Wang
Xiaolong Yang
author_sort Yuanshuo Zheng
title Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things
title_short Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things
title_full Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things
title_fullStr Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things
title_full_unstemmed Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things
title_sort technoeconomic assessment based on active context-knowledge orchestration for power internet of things
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/b0935a8973904a37ba400fa97791a7dc
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