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DC Field | Value | Language |
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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 |
Appears in Collections: | Publicaciones UISEK |
Files in This Item:
File | Description | Size | Format | |
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978-3-030-59193-9 LLANES EDILBERTO 2020-11-11.pdf | 344.54 kB | Adobe PDF | View/Open |
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