Please use this identifier to cite or link to this item: http://repositorio.uisek.edu.ec/handle/123456789/4202
Title: Clustering analysis of electricity consumption of municipalities in the province of Pichincha-Ecuador using the k-means algorithm
Authors: Llanes Cedeño, Edilberto Antonio
Núñez Barrionuevo, Oscar F.
Martínez Gómez, Javier
Guachimboza Dávalos, Jorge I.
López Villada, Jesús
Keywords: POWER CONSUMPTION
CLUSTERING
K-MEANS
Issue Date: 11-Nov-2020
Publisher: Springer, Cham
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.
URI: http://repositorio.uisek.edu.ec/handle/123456789/4202
ISBN: 978-3-030-59193-9
978-3-030-59194-6
Appears in Collections:Publicaciones UISEK

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