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http://repositorio.uisek.edu.ec/handle/123456789/4201| Título : | Prediction of monthly electricity consumption by cantons in Ecuador through neural networks: a case study |
| Autor : | Llanes Cedeño, Edilberto Antonio Guachimboza Davalos, Jorge I. Rubio Aguiar, Rodolfo J. Peralta Zurita, Diana Belén Núñez Barrionuevo, Oscar F. |
| Palabras clave : | POWER CONSUMPTION MULTIVARIATE REGRESSION NEURAL NET WORK |
| Fecha de publicación : | 11-nov-2020 |
| Editorial : | Springer, Cham |
| Resumen : | 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. |
| URI : | https://repositorio.uisek.edu.ec/handle/123456789/4201 |
| ISBN : | 978-3-030-59193-9 978-3-030-59194-6 |
| 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 |
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