Intelligent Distributed System for Energy Efficient Control

Autores
Pi Puig, Martín; Paniego, Juan Manuel; Medina, Santiago; Rodríguez Eguren, Pablo Sebastián; Libutti, Leandro Ariel; Lanciotti, Julieta; Antueno, Joaquín de; Estrebou, César Armando; Chichizola, Franco; De Giusti, Laura Cristina
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work, we present an intelligent system developed for energy consumption distributed control and monitoring. It supports real time cloudbased data visualization of power profiles from different areas, so as to optimize overall power consumption. The local intelligent processing unit (LIPU) that control the different environments is described. The communication network model that allows connecting multiple LIPUs to apply power consumption policies defined by the organization is analyzed, and the unit's capabilities in relation to cloud connectivity and realtime processing are considered through a theoretical scalability study. Finally, we describe relevant implementation features in the context of “Facultad de Informática” of the “Universidad Nacional de La Plata” (Argentine).
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
Energy consumption
Intelligent Systems
Internet of Things
Cloud computing
Optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/80380
Acceder
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network_name_str SEDICI (UNLP)
spelling Intelligent Distributed System for Energy Efficient ControlPi Puig, MartínPaniego, Juan ManuelMedina, SantiagoRodríguez Eguren, Pablo SebastiánLibutti, Leandro ArielLanciotti, JulietaAntueno, Joaquín deEstrebou, César ArmandoChichizola, FrancoDe Giusti, Laura CristinaCiencias InformáticasEnergy consumptionIntelligent SystemsInternet of ThingsCloud computingOptimizationIn this work, we present an intelligent system developed for energy consumption distributed control and monitoring. It supports real time cloudbased data visualization of power profiles from different areas, so as to optimize overall power consumption. The local intelligent processing unit (LIPU) that control the different environments is described. The communication network model that allows connecting multiple LIPUs to apply power consumption policies defined by the organization is analyzed, and the unit's capabilities in relation to cloud connectivity and realtime processing are considered through a theoretical scalability study. Finally, we describe relevant implementation features in the context of “Facultad de Informática” of the “Universidad Nacional de La Plata” (Argentine).Instituto de Investigación en Informática2019-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf51-60http://sedici.unlp.edu.ar/handle/10915/80380enginfo:eu-repo/semantics/altIdentifier/isbn/978-3-030-27713-0info:eu-repo/semantics/reference/doi/10.1007/978-3-030-27713-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-01-07T12:58:51Zoai:sedici.unlp.edu.ar:10915/80380Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-01-07 12:58:52.159SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Intelligent Distributed System for Energy Efficient Control
title Intelligent Distributed System for Energy Efficient Control
spellingShingle Intelligent Distributed System for Energy Efficient Control
Pi Puig, Martín
Ciencias Informáticas
Energy consumption
Intelligent Systems
Internet of Things
Cloud computing
Optimization
title_short Intelligent Distributed System for Energy Efficient Control
title_full Intelligent Distributed System for Energy Efficient Control
title_fullStr Intelligent Distributed System for Energy Efficient Control
title_full_unstemmed Intelligent Distributed System for Energy Efficient Control
title_sort Intelligent Distributed System for Energy Efficient Control
dc.creator.none.fl_str_mv Pi Puig, Martín
Paniego, Juan Manuel
Medina, Santiago
Rodríguez Eguren, Pablo Sebastián
Libutti, Leandro Ariel
Lanciotti, Julieta
Antueno, Joaquín de
Estrebou, César Armando
Chichizola, Franco
De Giusti, Laura Cristina
author Pi Puig, Martín
author_facet Pi Puig, Martín
Paniego, Juan Manuel
Medina, Santiago
Rodríguez Eguren, Pablo Sebastián
Libutti, Leandro Ariel
Lanciotti, Julieta
Antueno, Joaquín de
Estrebou, César Armando
Chichizola, Franco
De Giusti, Laura Cristina
author_role author
author2 Paniego, Juan Manuel
Medina, Santiago
Rodríguez Eguren, Pablo Sebastián
Libutti, Leandro Ariel
Lanciotti, Julieta
Antueno, Joaquín de
Estrebou, César Armando
Chichizola, Franco
De Giusti, Laura Cristina
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Energy consumption
Intelligent Systems
Internet of Things
Cloud computing
Optimization
topic Ciencias Informáticas
Energy consumption
Intelligent Systems
Internet of Things
Cloud computing
Optimization
dc.description.none.fl_txt_mv In this work, we present an intelligent system developed for energy consumption distributed control and monitoring. It supports real time cloudbased data visualization of power profiles from different areas, so as to optimize overall power consumption. The local intelligent processing unit (LIPU) that control the different environments is described. The communication network model that allows connecting multiple LIPUs to apply power consumption policies defined by the organization is analyzed, and the unit's capabilities in relation to cloud connectivity and realtime processing are considered through a theoretical scalability study. Finally, we describe relevant implementation features in the context of “Facultad de Informática” of the “Universidad Nacional de La Plata” (Argentine).
Instituto de Investigación en Informática
description In this work, we present an intelligent system developed for energy consumption distributed control and monitoring. It supports real time cloudbased data visualization of power profiles from different areas, so as to optimize overall power consumption. The local intelligent processing unit (LIPU) that control the different environments is described. The communication network model that allows connecting multiple LIPUs to apply power consumption policies defined by the organization is analyzed, and the unit's capabilities in relation to cloud connectivity and realtime processing are considered through a theoretical scalability study. Finally, we describe relevant implementation features in the context of “Facultad de Informática” of the “Universidad Nacional de La Plata” (Argentine).
publishDate 2019
dc.date.none.fl_str_mv 2019-06
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/80380
url http://sedici.unlp.edu.ar/handle/10915/80380
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-3-030-27713-0
info:eu-repo/semantics/reference/doi/10.1007/978-3-030-27713-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
51-60
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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