Publicação
RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach
| Resumo: | The integration of smart technologies into residential spaces has opened new possibilities for enhancing user comfort and energy efficiency. This paper presents the development of a smart climate control system for student residences, leveraging RFID (Radio Frequency Identification) technology and a mobile application to personalize environmental settings based on individual user preferences and presence. In this system, each room is equipped with an RFID tag that uniquely identifies its location. Students use a dedicated smartphone application to scan the tag upon entering the room, which not only validates their presence but also triggers a personalized temperature setting. The application allows students to adjust their preferred temperature settings, enabling the system to learn individual routines and comfort preferences over time. At the core of the solution is an autonomous learning module that uses the collected data to predict occupancy patterns and automatically manage the room's climate. When a student is detected, the system adjusts the temperature to their preferred setting; when the room is unoccupied, it reduces energy consumption by entering an eco-mode. This dynamic approach aims to balance user comfort with energy efficiency. The architecture of the system includes RFID-based room identification, a low cost raspberry that acts as local server, a mobile interface for user interaction, and a centralized control system that handles data analysis and actuator management. The paper details the design, implementation, and testing of the platform, as well as the benefits of combining location-awareness, user input, and intelligent automation. This project demonstrates a scalable and user-centric model for smart climate control in shared residential settings, contributing to sustainable energy management and improved quality of life in student housing environments. |
|---|---|
| Autores principais: | Fábio Paulo |
| Outros Autores: | Oliveira, Pedro Filipe; Matos, Paulo |
| Assunto: | AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1866298517860909056 |
|---|---|
| author | Fábio Paulo |
| author2 | Oliveira, Pedro Filipe Matos, Paulo |
| author2_role | author author |
| author_facet | Fábio Paulo Oliveira, Pedro Filipe Matos, Paulo |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Fábio Paulo\"},{\"Person.name\":\"Oliveira, Pedro Filipe\",\"Person.identifier.orcid\":\"0000-0002-2848-1606\"},{\"Person.name\":\"Matos, Paulo\",\"Person.identifier.orcid\":\"0000-0003-0010-4777\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Fábio Paulo Oliveira, Pedro Filipe Matos, Paulo |
| datacite.date.Accepted.fl_str_mv | 2025-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2026-05-20T22:13:01Z |
| datacite.date.embargoed.fl_str_mv | 2026-05-20T22:13:01Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences |
| datacite.titles.title.fl_str_mv | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Fábio Paulo Oliveira, Pedro Filipe Matos, Paulo |
| dc.date.Accepted.fl_str_mv | 2025-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2026-05-20T22:13:01Z |
| dc.date.embargoed.fl_str_mv | 2026-05-20T22:13:01Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/36744 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers Inc. |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences |
| dc.title.fl_str_mv | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | The integration of smart technologies into residential spaces has opened new possibilities for enhancing user comfort and energy efficiency. This paper presents the development of a smart climate control system for student residences, leveraging RFID (Radio Frequency Identification) technology and a mobile application to personalize environmental settings based on individual user preferences and presence. In this system, each room is equipped with an RFID tag that uniquely identifies its location. Students use a dedicated smartphone application to scan the tag upon entering the room, which not only validates their presence but also triggers a personalized temperature setting. The application allows students to adjust their preferred temperature settings, enabling the system to learn individual routines and comfort preferences over time. At the core of the solution is an autonomous learning module that uses the collected data to predict occupancy patterns and automatically manage the room's climate. When a student is detected, the system adjusts the temperature to their preferred setting; when the room is unoccupied, it reduces energy consumption by entering an eco-mode. This dynamic approach aims to balance user comfort with energy efficiency. The architecture of the system includes RFID-based room identification, a low cost raspberry that acts as local server, a mobile interface for user interaction, and a centralized control system that handles data analysis and actuator management. The paper details the design, implementation, and testing of the platform, as well as the benefits of combining location-awareness, user input, and intelligent automation. This project demonstrates a scalable and user-centric model for smart climate control in shared residential settings, contributing to sustainable energy management and improved quality of life in student housing environments. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/2111ac50-2466-4bbf-a9a5-dd4a45505078/download |
| funding.funder.alternateName_str_mv | FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia |
| funding.identifier_str_mv | UID/05757/2025 |
| funding.name_str_mv | Avaliação UID 2023/2024 |
| funding_str_mv | UID/05757/2025 https://doi.org/10.54499/UID/05757/2025http://hdl.handle.net/10198/36599 |
| id | ipb_38e92ba0a75a030fee7da968b5aeb7fa |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/36744 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/36744 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Fábio Paulo Oliveira, Pedro Filipe Oliveira, Pedro Filipe https://www.ciencia-id.pt/7E15-B360-5AD3 7E15-B360-5AD3 http://orcid.org/0000-0002-2848-1606 0000-0002-2848-1606 Matos, Paulo Matos, Paulo https://www.ciencia-id.pt/DD15-B2BC-3908 DD15-B2BC-3908 http://orcid.org/0000-0003-0010-4777 0000-0003-0010-4777 |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers Inc. |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engInstitute of Electrical and Electronics Engineers Inc.engThe integration of smart technologies into residential spaces has opened new possibilities for enhancing user comfort and energy efficiency. This paper presents the development of a smart climate control system for student residences, leveraging RFID (Radio Frequency Identification) technology and a mobile application to personalize environmental settings based on individual user preferences and presence. In this system, each room is equipped with an RFID tag that uniquely identifies its location. Students use a dedicated smartphone application to scan the tag upon entering the room, which not only validates their presence but also triggers a personalized temperature setting. The application allows students to adjust their preferred temperature settings, enabling the system to learn individual routines and comfort preferences over time. At the core of the solution is an autonomous learning module that uses the collected data to predict occupancy patterns and automatically manage the room's climate. When a student is detected, the system adjusts the temperature to their preferred setting; when the room is unoccupied, it reduces energy consumption by entering an eco-mode. This dynamic approach aims to balance user comfort with energy efficiency. The architecture of the system includes RFID-based room identification, a low cost raspberry that acts as local server, a mobile interface for user interaction, and a centralized control system that handles data analysis and actuator management. The paper details the design, implementation, and testing of the platform, as well as the benefits of combining location-awareness, user input, and intelligent automation. This project demonstrates a scalable and user-centric model for smart climate control in shared residential settings, contributing to sustainable energy management and improved quality of life in student housing environments.application/pdfengRFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient ApproachFábio PauloPersonalOliveira, Pedro FilipeDSpacehttp://dspace.org/items/366423a8-26c3-4212-a243-0fbca5b50f09DSpacehttp://dspace.org/items/366423a8-26c3-4212-a243-0fbca5b50f09OliveiraPedro FilipeCiência IDhttps://www.ciencia-id.pt7E15-B360-5AD3ORCIDhttp://orcid.org0000-0002-2848-1606Researcher IDhttps://www.researcherid.comC-7882-2017PersonalMatos, PauloDSpacehttp://dspace.org/items/1cb6522c-6039-44d0-a14e-70f65930ef92DSpacehttp://dspace.org/items/1cb6522c-6039-44d0-a14e-70f65930ef92MatosPauloCiência IDhttps://www.ciencia-id.ptDD15-B2BC-3908ORCIDhttp://orcid.org0000-0003-0010-4777Researcher IDhttps://www.researcherid.comI-5726-2018Researcher IDhttps://www.researcherid.comI-5726-2018Scopus Author IDhttps://www.scopus.com57193342842HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf979-833156755-2DOIIsPartOf10.1109/iceet67911.2025.114240652026-05-20T22:13:01Z20252025-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/36744http://purl.org/coar/access_right/c_16ecrestricted accessAmIEnergy-EfficiencyRFIDSmart-Climate-ControlUser-Preferences771278 bytesFundação para a Ciência e a TecnologiaCentro de Investigação em Digitalização e Robótica - UID/05757/2025https://doi.org/10.54499/UID/05757/2025http://hdl.handle.net/10198/36599UID/05757/2025Avaliação UID 2023/2024Crossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2025http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/2111ac50-2466-4bbf-a9a5-dd4a45505078/downloadInternational Conference on Engineering and Emerging Technologies, ICEET13Kuala Lumpur2025 |
| spellingShingle | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach Fábio Paulo AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences |
| status | SINGLETON |
| subject.fl_str_mv | AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences |
| title | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| title_full | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| title_fullStr | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| title_full_unstemmed | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| title_short | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| title_sort | RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach |
| topic | AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences |
| topic_facet | AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences |
| url | http://hdl.handle.net/10198/36744 |
| visible | 1 |
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