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Energy Management Expert Assistant, a New Concept
In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434654/ https://www.ncbi.nlm.nih.gov/pubmed/34502804 http://dx.doi.org/10.3390/s21175915 |
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author | Linan-Reyes, Matias Garrido-Zafra, Joaquin Gil-de-Castro, Aurora Moreno-Munoz, Antonio |
author_facet | Linan-Reyes, Matias Garrido-Zafra, Joaquin Gil-de-Castro, Aurora Moreno-Munoz, Antonio |
author_sort | Linan-Reyes, Matias |
collection | PubMed |
description | In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed the creation of a high-performance and easy-to-manage expert system (ES). It has been developed in a framework that includes, on the one hand, the efficient energy management functionality boosted with an Internet of Things (IoT) platform, where artificial intelligence (AI) and big data treatment are blended, and on the other hand, an assistant that interacts both with the user and with the HEMS itself. The creation of this ES has made it possible to optimize consumption levels, improve security, efficiency, comfort, and user experience, as well as home security (presence simulation or security against intruders), automate processes, optimize resources, and provide relevant information to the user facilitating decision making, all based on a multi-objective optimization (MOP) problem model. This paper presents both the scheme and the results obtained, the synergies generated, and the conclusions that can be drawn after 24 months of operation. |
format | Online Article Text |
id | pubmed-8434654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84346542021-09-12 Energy Management Expert Assistant, a New Concept Linan-Reyes, Matias Garrido-Zafra, Joaquin Gil-de-Castro, Aurora Moreno-Munoz, Antonio Sensors (Basel) Article In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed the creation of a high-performance and easy-to-manage expert system (ES). It has been developed in a framework that includes, on the one hand, the efficient energy management functionality boosted with an Internet of Things (IoT) platform, where artificial intelligence (AI) and big data treatment are blended, and on the other hand, an assistant that interacts both with the user and with the HEMS itself. The creation of this ES has made it possible to optimize consumption levels, improve security, efficiency, comfort, and user experience, as well as home security (presence simulation or security against intruders), automate processes, optimize resources, and provide relevant information to the user facilitating decision making, all based on a multi-objective optimization (MOP) problem model. This paper presents both the scheme and the results obtained, the synergies generated, and the conclusions that can be drawn after 24 months of operation. MDPI 2021-09-02 /pmc/articles/PMC8434654/ /pubmed/34502804 http://dx.doi.org/10.3390/s21175915 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Linan-Reyes, Matias Garrido-Zafra, Joaquin Gil-de-Castro, Aurora Moreno-Munoz, Antonio Energy Management Expert Assistant, a New Concept |
title | Energy Management Expert Assistant, a New Concept |
title_full | Energy Management Expert Assistant, a New Concept |
title_fullStr | Energy Management Expert Assistant, a New Concept |
title_full_unstemmed | Energy Management Expert Assistant, a New Concept |
title_short | Energy Management Expert Assistant, a New Concept |
title_sort | energy management expert assistant, a new concept |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434654/ https://www.ncbi.nlm.nih.gov/pubmed/34502804 http://dx.doi.org/10.3390/s21175915 |
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