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.

Bibliographic Details
Main Authors: Rodriguez Rivero, Cristian, Sauchelli, Victor, Patiño, Hector Daniel, Pucheta, Julian Antonio, Laboret, Sergio
Format: conferenceObject
Language:eng
Published: 2024
Subjects:
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.
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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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AT patinohectordaniel longtermpowerconsumptiondemandpredictionacomparisonofenergyassociatedandbayesianmodelingapproach
AT puchetajulianantonio longtermpowerconsumptiondemandpredictionacomparisonofenergyassociatedandbayesianmodelingapproach
AT laboretsergio longtermpowerconsumptiondemandpredictionacomparisonofenergyassociatedandbayesianmodelingapproach