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Contributions to Power Grid System Analysis Based on Clustering Techniques
The topic addressed in this article is part of the current concerns of modernizing power systems by promoting and implementing the concept of smart grid(s). The concepts of smart metering, a smart home, and an electric car are developing simultaneously with the idea of a smart city by developing hig...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961150/ https://www.ncbi.nlm.nih.gov/pubmed/36850492 http://dx.doi.org/10.3390/s23041895 |
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author | Grigoraș, Gheorghe Raboaca, Maria Simona Dumitrescu, Catalin Manea, Daniela Lucia Mihaltan, Traian Candin Niculescu, Violeta-Carolina Neagu, Bogdan Constantin |
author_facet | Grigoraș, Gheorghe Raboaca, Maria Simona Dumitrescu, Catalin Manea, Daniela Lucia Mihaltan, Traian Candin Niculescu, Violeta-Carolina Neagu, Bogdan Constantin |
author_sort | Grigoraș, Gheorghe |
collection | PubMed |
description | The topic addressed in this article is part of the current concerns of modernizing power systems by promoting and implementing the concept of smart grid(s). The concepts of smart metering, a smart home, and an electric car are developing simultaneously with the idea of a smart city by developing high-performance electrical equipment and systems, telecommunications technologies, and computing and infrastructure based on artificial intelligence algorithms. The article presents contributions regarding the modeling of consumer classification and load profiling in electrical power networks and the efficiency of clustering techniques in their profiling as well as the simulation of the load of medium-voltage/low-voltage network distribution transformers to electricity meters. |
format | Online Article Text |
id | pubmed-9961150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99611502023-02-26 Contributions to Power Grid System Analysis Based on Clustering Techniques Grigoraș, Gheorghe Raboaca, Maria Simona Dumitrescu, Catalin Manea, Daniela Lucia Mihaltan, Traian Candin Niculescu, Violeta-Carolina Neagu, Bogdan Constantin Sensors (Basel) Article The topic addressed in this article is part of the current concerns of modernizing power systems by promoting and implementing the concept of smart grid(s). The concepts of smart metering, a smart home, and an electric car are developing simultaneously with the idea of a smart city by developing high-performance electrical equipment and systems, telecommunications technologies, and computing and infrastructure based on artificial intelligence algorithms. The article presents contributions regarding the modeling of consumer classification and load profiling in electrical power networks and the efficiency of clustering techniques in their profiling as well as the simulation of the load of medium-voltage/low-voltage network distribution transformers to electricity meters. MDPI 2023-02-08 /pmc/articles/PMC9961150/ /pubmed/36850492 http://dx.doi.org/10.3390/s23041895 Text en © 2023 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 Grigoraș, Gheorghe Raboaca, Maria Simona Dumitrescu, Catalin Manea, Daniela Lucia Mihaltan, Traian Candin Niculescu, Violeta-Carolina Neagu, Bogdan Constantin Contributions to Power Grid System Analysis Based on Clustering Techniques |
title | Contributions to Power Grid System Analysis Based on Clustering Techniques |
title_full | Contributions to Power Grid System Analysis Based on Clustering Techniques |
title_fullStr | Contributions to Power Grid System Analysis Based on Clustering Techniques |
title_full_unstemmed | Contributions to Power Grid System Analysis Based on Clustering Techniques |
title_short | Contributions to Power Grid System Analysis Based on Clustering Techniques |
title_sort | contributions to power grid system analysis based on clustering techniques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961150/ https://www.ncbi.nlm.nih.gov/pubmed/36850492 http://dx.doi.org/10.3390/s23041895 |
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