Prediction of monthly electricity consumption by cantons in Ecuador through neural networks:  a case study

Por favor, use este identificador para citar o enlazar este ítem: https://repositorio.uisek.edu.ec/handle/123456789/4201

Registro completo de metadatos

Campo DC	Valor	Lengua/Idioma
dc.contributor.author	Llanes Cedeño, Edilberto Antonio	-
dc.contributor.author	Guachimboza Davalos, Jorge I.	-
dc.contributor.author	Rubio Aguiar, Rodolfo J.	-
dc.contributor.author	Peralta Zurita, Diana Belén	-
dc.contributor.author	Núñez Barrionuevo, Oscar F.	-
dc.date.accessioned	2021-04-20T18:24:16Z	-
dc.date.available	2021-04-20T18:24:16Z	-
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/123456789/4201	-
dc.description.abstract	Abstract. The present work shows a multivariate regression through deep learning related to energy consumption in the province of Pichincha- Ecuador in relation to its cantons. This is done to establish consumption habits in relation to the existing population. For this, a data preprocess- ing stage was implemented and later an artificial neural network of a hidden layer and 15 neurons. As a result, a mathematical model with an absolute error of 2.2 % is obtained.	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	MULTIVARIATE REGRESSION	es
dc.subject	NEURAL NET	es
dc.subject	WORK	es
dc.title	Prediction of monthly electricity consumption by cantons in Ecuador through neural networks: a case study	es
dc.type	info:eu-repo/semantics/bookchapter	es
Aparece en las colecciones:	Publicaciones UISEK

Ficheros en este ítem:

Fichero	Descripción	Tamaño	Formato
978-3-030-59193-9 LLANES EDILBERTO 2020-11-11.pdf		344,54 kB	Adobe PDF	Visualizar/Abrir