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An Intelligent Smart Plug with Shared Knowledge Capabilities
The massive dissemination of smart devices in current markets provides innovative technologies that can be used in energy management systems. Particularly, smart plugs enable efficient remote monitoring and control capabilities of electrical resources at a low cost. However, smart plugs, besides the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263523/ https://www.ncbi.nlm.nih.gov/pubmed/30445730 http://dx.doi.org/10.3390/s18113961 |
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author | Gomes, Luis Sousa, Filipe Vale, Zita |
author_facet | Gomes, Luis Sousa, Filipe Vale, Zita |
author_sort | Gomes, Luis |
collection | PubMed |
description | The massive dissemination of smart devices in current markets provides innovative technologies that can be used in energy management systems. Particularly, smart plugs enable efficient remote monitoring and control capabilities of electrical resources at a low cost. However, smart plugs, besides their enabling capabilities, are not able to acquire and communicate information regarding the resource’s context. This paper proposes the EnAPlug, a new environmental awareness smart plug with knowledge capabilities concerning the context of where and how users utilize a controllable resource. This paper will focus on the abilities to learn and to share knowledge between different EnAPlugs. The EnAPlug is tested in two different case studies where user habits and consumption profiles are learned. A case study for distributed resource optimization is also shown, where a central heater is optimized according to the shared knowledge of five EnAPlugs. |
format | Online Article Text |
id | pubmed-6263523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62635232018-12-12 An Intelligent Smart Plug with Shared Knowledge Capabilities Gomes, Luis Sousa, Filipe Vale, Zita Sensors (Basel) Article The massive dissemination of smart devices in current markets provides innovative technologies that can be used in energy management systems. Particularly, smart plugs enable efficient remote monitoring and control capabilities of electrical resources at a low cost. However, smart plugs, besides their enabling capabilities, are not able to acquire and communicate information regarding the resource’s context. This paper proposes the EnAPlug, a new environmental awareness smart plug with knowledge capabilities concerning the context of where and how users utilize a controllable resource. This paper will focus on the abilities to learn and to share knowledge between different EnAPlugs. The EnAPlug is tested in two different case studies where user habits and consumption profiles are learned. A case study for distributed resource optimization is also shown, where a central heater is optimized according to the shared knowledge of five EnAPlugs. MDPI 2018-11-15 /pmc/articles/PMC6263523/ /pubmed/30445730 http://dx.doi.org/10.3390/s18113961 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gomes, Luis Sousa, Filipe Vale, Zita An Intelligent Smart Plug with Shared Knowledge Capabilities |
title | An Intelligent Smart Plug with Shared Knowledge Capabilities |
title_full | An Intelligent Smart Plug with Shared Knowledge Capabilities |
title_fullStr | An Intelligent Smart Plug with Shared Knowledge Capabilities |
title_full_unstemmed | An Intelligent Smart Plug with Shared Knowledge Capabilities |
title_short | An Intelligent Smart Plug with Shared Knowledge Capabilities |
title_sort | intelligent smart plug with shared knowledge capabilities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263523/ https://www.ncbi.nlm.nih.gov/pubmed/30445730 http://dx.doi.org/10.3390/s18113961 |
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