Smart City Gnosys

Smart city article details

Title Contributions To Power Grid System Analysis Based On Clustering Techniques
ID_Doc 16016
Authors Grigoraș G.; Raboaca M.S.; Dumitrescu C.; Manea D.L.; Mihaltan T.C.; Niculescu V.-C.; Neagu B.C.
Year 2023
Published Sensors, 23, 4
DOI http://dx.doi.org/10.3390/s23041895
Abstract 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. © 2023 by the authors.
Author Keywords clustering techniques; pattern clustering; power distribution planning; regression algorithms; smart grid


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