A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences
- Autores
- Rossit, Diego Gabriel; Nesmachnow, Sergio; Toutouh, Jamal; Luna, Francisco
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical formulation to the household energy planning problem and a specic resolution method to build schedules for using deferrable electric that can reduce the cost of the electricity bill while keeping user satisfaction at a satisfactory level. User satisfaction have a great variability, since it is based on human preferences, thus a stochastic simulation-optimization approach is applied for handling uncertainty in the optimization process. Results over instances based on real-world data show the competitiveness of the proposed approach, which is able to compute dierent compromise solution accounting for the trade-off between these two conficting optimization criteria.
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay
Fil: Toutouh, Jamal. Massachusetts Institute of Technology; Estados Unidos
Fil: Luna, Francisco. Universidad de Málaga; España
International Conference of Production Research - Americas 2020
Bahía Blanca
Argentina
Universidad Nacional del Sur - Materia
-
SMART CITIES
ENERGY PLANNING
MIXED-INTEGER PROGRAMMING
MULTIOBJECTIVE OPTIMIZATION
SIMULATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/147143
Ver los metadatos del registro completo
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A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferencesRossit, Diego GabrielNesmachnow, SergioToutouh, JamalLuna, FranciscoSMART CITIESENERGY PLANNINGMIXED-INTEGER PROGRAMMINGMULTIOBJECTIVE OPTIMIZATIONSIMULATIONhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical formulation to the household energy planning problem and a specic resolution method to build schedules for using deferrable electric that can reduce the cost of the electricity bill while keeping user satisfaction at a satisfactory level. User satisfaction have a great variability, since it is based on human preferences, thus a stochastic simulation-optimization approach is applied for handling uncertainty in the optimization process. Results over instances based on real-world data show the competitiveness of the proposed approach, which is able to compute dierent compromise solution accounting for the trade-off between these two conficting optimization criteria.Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; ArgentinaFil: Nesmachnow, Sergio. Universidad de la República; UruguayFil: Toutouh, Jamal. Massachusetts Institute of Technology; Estados UnidosFil: Luna, Francisco. Universidad de Málaga; EspañaInternational Conference of Production Research - Americas 2020Bahía BlancaArgentinaUniversidad Nacional del SurUniversidad Nacional del Sur2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/147143A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences; International Conference of Production Research - Americas 2020; Bahía Blanca; Argentina; 2020; 40-542619-1865CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.matematica.uns.edu.ar/ipcra/pdf/icpr_americas_2020_proceedings.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:58Zoai:ri.conicet.gov.ar:11336/147143instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:44:59.139CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences |
title |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences |
spellingShingle |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences Rossit, Diego Gabriel SMART CITIES ENERGY PLANNING MIXED-INTEGER PROGRAMMING MULTIOBJECTIVE OPTIMIZATION SIMULATION |
title_short |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences |
title_full |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences |
title_fullStr |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences |
title_full_unstemmed |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences |
title_sort |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences |
dc.creator.none.fl_str_mv |
Rossit, Diego Gabriel Nesmachnow, Sergio Toutouh, Jamal Luna, Francisco |
author |
Rossit, Diego Gabriel |
author_facet |
Rossit, Diego Gabriel Nesmachnow, Sergio Toutouh, Jamal Luna, Francisco |
author_role |
author |
author2 |
Nesmachnow, Sergio Toutouh, Jamal Luna, Francisco |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
SMART CITIES ENERGY PLANNING MIXED-INTEGER PROGRAMMING MULTIOBJECTIVE OPTIMIZATION SIMULATION |
topic |
SMART CITIES ENERGY PLANNING MIXED-INTEGER PROGRAMMING MULTIOBJECTIVE OPTIMIZATION SIMULATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.11 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical formulation to the household energy planning problem and a specic resolution method to build schedules for using deferrable electric that can reduce the cost of the electricity bill while keeping user satisfaction at a satisfactory level. User satisfaction have a great variability, since it is based on human preferences, thus a stochastic simulation-optimization approach is applied for handling uncertainty in the optimization process. Results over instances based on real-world data show the competitiveness of the proposed approach, which is able to compute dierent compromise solution accounting for the trade-off between these two conficting optimization criteria. Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay Fil: Toutouh, Jamal. Massachusetts Institute of Technology; Estados Unidos Fil: Luna, Francisco. Universidad de Málaga; España International Conference of Production Research - Americas 2020 Bahía Blanca Argentina Universidad Nacional del Sur |
description |
Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical formulation to the household energy planning problem and a specic resolution method to build schedules for using deferrable electric that can reduce the cost of the electricity bill while keeping user satisfaction at a satisfactory level. User satisfaction have a great variability, since it is based on human preferences, thus a stochastic simulation-optimization approach is applied for handling uncertainty in the optimization process. Results over instances based on real-world data show the competitiveness of the proposed approach, which is able to compute dierent compromise solution accounting for the trade-off between these two conficting optimization criteria. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Conferencia Journal http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
status_str |
publishedVersion |
format |
conferenceObject |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/147143 A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences; International Conference of Production Research - Americas 2020; Bahía Blanca; Argentina; 2020; 40-54 2619-1865 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/147143 |
identifier_str_mv |
A simulation-optimization approach for the household energy planning problem considering uncertainty in users preferences; International Conference of Production Research - Americas 2020; Bahía Blanca; Argentina; 2020; 40-54 2619-1865 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.matematica.uns.edu.ar/ipcra/pdf/icpr_americas_2020_proceedings.pdf |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf application/pdf |
dc.coverage.none.fl_str_mv |
Internacional |
dc.publisher.none.fl_str_mv |
Universidad Nacional del Sur |
publisher.none.fl_str_mv |
Universidad Nacional del Sur |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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