An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback

Autores
Friedrich, Guillermo Rodolfo; Reggiani, Guillermo Héctor
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In recent years there has been a growing development of applications oriented to energy saving, based on the Internet of Things and cloud computing. These developments have not only economic motivations, but also environmental ones, related to the reduction of greenhouse gas emissions. The energy sector is perhaps the main global contributor to the emissions of these gases. In the present work, the development of a system based on IoT and CC for the monitoring of energy consumption at the residential level is described. It is organized according to the three-tier model: Edge, Platform and Enterprise. At the Edge level, some innovations are proposed, such as indirect energy sensing and the connection of sensors using the electrical network for data communication. Both would enable an agile deployment of the sensor network. The objective of the system is to provide the user with feedback about their energy consumption and certain environmental variables, in such a way that they can manage their energy consumption, while still achieving an adequate level of comfort.
Fil: Friedrich, Guillermo Rodolfo. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
Fil: Reggiani, Guillermo Héctor. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
Materia
Internet of Things
Cloud computing
Energy monitoring
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2022-06-02T18:52:46Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/6599
Acceder
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network_name_str Repositorio Institucional Abierto (UTN)
spelling An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedbackFriedrich, Guillermo RodolfoReggiani, Guillermo HéctorInternet of ThingsCloud computingEnergy monitoringIn recent years there has been a growing development of applications oriented to energy saving, based on the Internet of Things and cloud computing. These developments have not only economic motivations, but also environmental ones, related to the reduction of greenhouse gas emissions. The energy sector is perhaps the main global contributor to the emissions of these gases. In the present work, the development of a system based on IoT and CC for the monitoring of energy consumption at the residential level is described. It is organized according to the three-tier model: Edge, Platform and Enterprise. At the Edge level, some innovations are proposed, such as indirect energy sensing and the connection of sensors using the electrical network for data communication. Both would enable an agile deployment of the sensor network. The objective of the system is to provide the user with feedback about their energy consumption and certain environmental variables, in such a way that they can manage their energy consumption, while still achieving an adequate level of comfort.Fil: Friedrich, Guillermo Rodolfo. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.Fil: Reggiani, Guillermo Héctor. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.2022-06-02T18:52:46Z2022-06-02T18:52:46Z2021-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciapdfapplication/pdfFriedrich, G. R. y Reggiani, G. H. (22-25 de junio de 2021). An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback. Novena Jornadas de Cloud Computing, Big Data & Emerging Topics. Universidad Nacional de La Plata, La Plata, Argentina.978-950-34-2016-4http://hdl.handle.net/20.500.12272/6599engenginfo:eu-repo/semantics/openAccess2022-06-02T18:52:46Zhttp://creativecommons.org/licenses/by-nc-sa/4.0/Atribución-NoComercial-CompartirIgual 4.0 InternacionalNo comercial con fines académicos y educativos.reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:47:10Zoai:ria.utn.edu.ar:20.500.12272/6599instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:47:11.523Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
title An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
spellingShingle An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
Friedrich, Guillermo Rodolfo
Internet of Things
Cloud computing
Energy monitoring
title_short An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
title_full An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
title_fullStr An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
title_full_unstemmed An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
title_sort An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
dc.creator.none.fl_str_mv Friedrich, Guillermo Rodolfo
Reggiani, Guillermo Héctor
author Friedrich, Guillermo Rodolfo
author_facet Friedrich, Guillermo Rodolfo
Reggiani, Guillermo Héctor
author_role author
author2 Reggiani, Guillermo Héctor
author2_role author
dc.subject.none.fl_str_mv Internet of Things
Cloud computing
Energy monitoring
topic Internet of Things
Cloud computing
Energy monitoring
dc.description.none.fl_txt_mv In recent years there has been a growing development of applications oriented to energy saving, based on the Internet of Things and cloud computing. These developments have not only economic motivations, but also environmental ones, related to the reduction of greenhouse gas emissions. The energy sector is perhaps the main global contributor to the emissions of these gases. In the present work, the development of a system based on IoT and CC for the monitoring of energy consumption at the residential level is described. It is organized according to the three-tier model: Edge, Platform and Enterprise. At the Edge level, some innovations are proposed, such as indirect energy sensing and the connection of sensors using the electrical network for data communication. Both would enable an agile deployment of the sensor network. The objective of the system is to provide the user with feedback about their energy consumption and certain environmental variables, in such a way that they can manage their energy consumption, while still achieving an adequate level of comfort.
Fil: Friedrich, Guillermo Rodolfo. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
Fil: Reggiani, Guillermo Héctor. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
description In recent years there has been a growing development of applications oriented to energy saving, based on the Internet of Things and cloud computing. These developments have not only economic motivations, but also environmental ones, related to the reduction of greenhouse gas emissions. The energy sector is perhaps the main global contributor to the emissions of these gases. In the present work, the development of a system based on IoT and CC for the monitoring of energy consumption at the residential level is described. It is organized according to the three-tier model: Edge, Platform and Enterprise. At the Edge level, some innovations are proposed, such as indirect energy sensing and the connection of sensors using the electrical network for data communication. Both would enable an agile deployment of the sensor network. The objective of the system is to provide the user with feedback about their energy consumption and certain environmental variables, in such a way that they can manage their energy consumption, while still achieving an adequate level of comfort.
publishDate 2021
dc.date.none.fl_str_mv 2021-06
2022-06-02T18:52:46Z
2022-06-02T18:52:46Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv Friedrich, G. R. y Reggiani, G. H. (22-25 de junio de 2021). An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback. Novena Jornadas de Cloud Computing, Big Data & Emerging Topics. Universidad Nacional de La Plata, La Plata, Argentina.
978-950-34-2016-4
http://hdl.handle.net/20.500.12272/6599
identifier_str_mv Friedrich, G. R. y Reggiani, G. H. (22-25 de junio de 2021). An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback. Novena Jornadas de Cloud Computing, Big Data & Emerging Topics. Universidad Nacional de La Plata, La Plata, Argentina.
978-950-34-2016-4
url http://hdl.handle.net/20.500.12272/6599
dc.language.none.fl_str_mv eng
eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2022-06-02T18:52:46Z
http://creativecommons.org/licenses/by-nc-sa/4.0/
Atribución-NoComercial-CompartirIgual 4.0 Internacional
No comercial con fines académicos y educativos.
eu_rights_str_mv openAccess
rights_invalid_str_mv 2022-06-02T18:52:46Z
http://creativecommons.org/licenses/by-nc-sa/4.0/
Atribución-NoComercial-CompartirIgual 4.0 Internacional
No comercial con fines académicos y educativos.
dc.format.none.fl_str_mv pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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