Clustering analysis of electricity consumption of municipalities in the province of Pichincha-Ecuador using the k-means algorithm

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	Llanes Cedeño, Edilberto Antonio	-
dc.contributor.author	Núñez Barrionuevo, Oscar F.	-
dc.contributor.author	Martínez Gómez, Javier	-
dc.contributor.author	Guachimboza Dávalos, Jorge I.	-
dc.contributor.author	López Villada, Jesús	-
dc.date.accessioned	2021-04-20T18:32:58Z	-
dc.date.available	2021-04-20T18:32:58Z	-
dc.date.issued	2020-11-11	-
dc.identifier.isbn	978-3-030-59193-9	-
dc.identifier.isbn	978-3-030-59194-6	-
dc.identifier.uri	https://repositorio.uisek.edu.ec/handle/123456789/4202	-
dc.description.abstract	This work shows an analysis of electricity consumption by parishes in the province of Pichincha to define consumption affinities between them. To do this, categorical variables are encoded to be used AQ1 with the unsupervised machine learning algorithm k-means. As relevant results, four types of consumption are established and they are analyzed in relation to population density while algorithm represents 100% of the variability of the data, and municipalities with different consumption trends are identified.	es
dc.description.sponsorship	Uisek	es
dc.language.iso	eng	es
dc.publisher	Springer, Cham	es
dc.rights	openAccess	es
dc.subject	POWER CONSUMPTION	es
dc.subject	CLUSTERING	es
dc.subject	K-MEANS	es
dc.title	Clustering analysis of electricity consumption of municipalities in the province of Pichincha-Ecuador using the k-means algorithm	es
dc.type	info:eu-repo/semantics/bookchapter	es
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