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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...

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Autores principales: Grigoraș, Gheorghe, Raboaca, Maria Simona, Dumitrescu, Catalin, Manea, Daniela Lucia, Mihaltan, Traian Candin, Niculescu, Violeta-Carolina, Neagu, Bogdan Constantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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