Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach
Fil: Rodriguez Rivero, Cristian. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina.
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Format: | conferenceObject |
Language: | eng |
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2024
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Online Access: | http://hdl.handle.net/11086/551260 |
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author | Rodriguez Rivero, Cristian Sauchelli, Victor Patiño, Hector Daniel Pucheta, Julian Antonio Laboret, Sergio |
author_facet | Rodriguez Rivero, Cristian Sauchelli, Victor Patiño, Hector Daniel Pucheta, Julian Antonio Laboret, Sergio |
author_sort | Rodriguez Rivero, Cristian |
collection | Repositorio Digital Universitario |
description | Fil: Rodriguez Rivero, Cristian. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. |
format | conferenceObject |
id | rdu-unc.551260 |
institution | Universidad Nacional de Cordoba |
language | eng |
publishDate | 2024 |
record_format | dspace |
spelling | rdu-unc.5512602024-03-27T06:21:28Z Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach Rodriguez Rivero, Cristian Sauchelli, Victor Patiño, Hector Daniel Pucheta, Julian Antonio Laboret, Sergio Neural networks Energy associated to series Power consumption forecast Energy time series Fil: Rodriguez Rivero, Cristian. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Fil: Sauchelli, Victor. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Fil: Patiño, Hector Daniel. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Fil: Pucheta, Julian Antonio. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Fil: Laboret, Sergio. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. This paper contibutes with two different prediction approaches for long-term power comsumption demand prediction using an artificial neural network (ANN) short-term time series predictor filter. http://ieeexplore.ieee.org/document/7435938/ Fil: Rodriguez Rivero, Cristian. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Fil: Sauchelli, Victor. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Fil: Patiño, Hector Daniel. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Fil: Pucheta, Julian Antonio. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Fil: Laboret, Sergio. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Control Automático y Robótica 2024-03-26T12:17:54Z 2024-03-26T12:17:54Z 2015 conferenceObject 978-1-4673-8417-9 http://hdl.handle.net/11086/551260 eng Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ Impreso; Electrónico y/o Digital |
spellingShingle | Neural networks Energy associated to series Power consumption forecast Energy time series Rodriguez Rivero, Cristian Sauchelli, Victor Patiño, Hector Daniel Pucheta, Julian Antonio Laboret, Sergio Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach |
title | Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach |
title_full | Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach |
title_fullStr | Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach |
title_full_unstemmed | Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach |
title_short | Long-term power consumption demand prediction: a comparison of energy associated and bayesian modeling approach |
title_sort | long term power consumption demand prediction a comparison of energy associated and bayesian modeling approach |
topic | Neural networks Energy associated to series Power consumption forecast Energy time series |
url | http://hdl.handle.net/11086/551260 |
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