Electrical consumption forecast using actual data of building end-use decomposition

The calculation of electricity consumption forecast a few days ahead is a complex issue and studies about this matter are continually being performed. Advances in this field enable obtaining consumption forecasts increasingly accurate. These consumption forecasts aim to improve the knowledge of the...

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Autores: Escrivá-Escrivá, Guillermo|||0000-0002-3202-4571, Roldán-Blay, Carlos|||0000-0001-9459-0563, Álvarez, Carlos|||0000-0002-8238-1606
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/56648
Acceso en línea:https://riunet.upv.es/handle/10251/56648
Access Level:acceso abierto
Palabra clave:Building end-uses
Forecast
Electrical consumption
Metered data
INGENIERIA ELECTRICA
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spelling Electrical consumption forecast using actual data of building end-use decompositionEscrivá-Escrivá, Guillermo|||0000-0002-3202-4571Roldán-Blay, Carlos|||0000-0001-9459-0563Álvarez, Carlos|||0000-0002-8238-1606Building end-usesForecastElectrical consumptionMetered dataINGENIERIA ELECTRICAThe calculation of electricity consumption forecast a few days ahead is a complex issue and studies about this matter are continually being performed. Advances in this field enable obtaining consumption forecasts increasingly accurate. These consumption forecasts aim to improve the knowledge of the facilities, the planning and control of consumption and the measurement and verification of energy saving measures, among others. In this study the authors present several advances related to consumption forecast using end-use (EU) approach. In the disaggregation of the total consumption process, the correlation between energy and external variables, such as mean temperature, degree days or daylight, is studied. Additionally, an extrapolation method to obtain a total consumption forecast from forecasted EUs consumption that cover approximately 60% of total consumption is developed. With this procedure, total consumption forecasts with high accuracy can be obtained. The higher accuracy in each end-use, the better results are obtained in the total consumption forecast. For this reason, the study is focused in the end-uses disaggregation and its forecast calculation. The entire methodology is illustrated and contrasted using the consumption of the Universitat Politècnica de València (UPV).This research work has been possible with the support of the Universitat Politecnica de Valencia through grant CE19990032.ElsevierDepartamento de Ingeniería EléctricaInstituto Universitario de Investigación de Ingeniería EnergéticaEscuela Técnica Superior de Ingeniería IndustrialUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20142014-10-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/56648reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengUniversitat Politècnica de València https://doi.org/10.13039/501100004233 CE-19990032open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/566482026-06-13T07:49:27Z
dc.title.none.fl_str_mv Electrical consumption forecast using actual data of building end-use decomposition
title Electrical consumption forecast using actual data of building end-use decomposition
spellingShingle Electrical consumption forecast using actual data of building end-use decomposition
Escrivá-Escrivá, Guillermo|||0000-0002-3202-4571
Building end-uses
Forecast
Electrical consumption
Metered data
INGENIERIA ELECTRICA
title_short Electrical consumption forecast using actual data of building end-use decomposition
title_full Electrical consumption forecast using actual data of building end-use decomposition
title_fullStr Electrical consumption forecast using actual data of building end-use decomposition
title_full_unstemmed Electrical consumption forecast using actual data of building end-use decomposition
title_sort Electrical consumption forecast using actual data of building end-use decomposition
dc.creator.none.fl_str_mv Escrivá-Escrivá, Guillermo|||0000-0002-3202-4571
Roldán-Blay, Carlos|||0000-0001-9459-0563
Álvarez, Carlos|||0000-0002-8238-1606
author Escrivá-Escrivá, Guillermo|||0000-0002-3202-4571
author_facet Escrivá-Escrivá, Guillermo|||0000-0002-3202-4571
Roldán-Blay, Carlos|||0000-0001-9459-0563
Álvarez, Carlos|||0000-0002-8238-1606
author_role author
author2 Roldán-Blay, Carlos|||0000-0001-9459-0563
Álvarez, Carlos|||0000-0002-8238-1606
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Eléctrica
Instituto Universitario de Investigación de Ingeniería Energética
Escuela Técnica Superior de Ingeniería Industrial
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Building end-uses
Forecast
Electrical consumption
Metered data
INGENIERIA ELECTRICA
topic Building end-uses
Forecast
Electrical consumption
Metered data
INGENIERIA ELECTRICA
description The calculation of electricity consumption forecast a few days ahead is a complex issue and studies about this matter are continually being performed. Advances in this field enable obtaining consumption forecasts increasingly accurate. These consumption forecasts aim to improve the knowledge of the facilities, the planning and control of consumption and the measurement and verification of energy saving measures, among others. In this study the authors present several advances related to consumption forecast using end-use (EU) approach. In the disaggregation of the total consumption process, the correlation between energy and external variables, such as mean temperature, degree days or daylight, is studied. Additionally, an extrapolation method to obtain a total consumption forecast from forecasted EUs consumption that cover approximately 60% of total consumption is developed. With this procedure, total consumption forecasts with high accuracy can be obtained. The higher accuracy in each end-use, the better results are obtained in the total consumption forecast. For this reason, the study is focused in the end-uses disaggregation and its forecast calculation. The entire methodology is illustrated and contrasted using the consumption of the Universitat Politècnica de València (UPV).
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-10-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/56648
url https://riunet.upv.es/handle/10251/56648
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Universitat Politècnica de València https://doi.org/10.13039/501100004233 CE-19990032
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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