Mostrar el registro sencillo del ítem

dc.contributor.author
Véliz, Maximiliano Ezequiel  
dc.contributor.author
Real, Gustavo Ernesto  
dc.contributor.author
Otero, Alejandro Daniel  
dc.date.available
2023-08-15T10:08:05Z  
dc.date.issued
2022  
dc.identifier.citation
Embedded Electrical Energy Measurement System Based on the M90E36A for Detecting High-Frequency Features in Household Appliances; 2022 IEEE Biennial Congress of Argentina; San Juan; Argentina; 2022; 1-7  
dc.identifier.uri
http://hdl.handle.net/11336/208236  
dc.description.abstract
In the state of the art of non-invasive load monitoring study, there are several proposals for the elaboration of datasets of electrical appliance consumption at different test frequencies, which allow the implementation of strategies and algorithms for energy monitoring. This paper presents an high-frequency electrical energy measurement system and digital signal processing to obtain non-conventional features that may be relevant for the study of energy disaggregation in real time.The system consists of the Atmel-DB board, based on the Atmel M90E36A integrated circuit, with channels for three-phase voltage and current measurement, a data acquisition board with an Arduino DUE for communication and a Raspberry Pi running the user interface and high frequency DSP. After a detailed description of the system, an application example is presented where high frequency signal processing is developed.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
embedded system  
dc.subject
energy disaggregation  
dc.subject
high-frequency data  
dc.subject.classification
Ingeniería Eléctrica y Electrónica  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Embedded Electrical Energy Measurement System Based on the M90E36A for Detecting High-Frequency Features in Household Appliances  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2023-08-14T11:17:31Z  
dc.journal.pagination
1-7  
dc.journal.pais
Argentina  
dc.journal.ciudad
San Juan  
dc.description.fil
Fil: Véliz, Maximiliano Ezequiel. Universidad Nacional de Hurlingham.; Argentina. Universidad Nacional de General Sarmiento; Argentina  
dc.description.fil
Fil: Real, Gustavo Ernesto. Universidad Nacional de Hurlingham.; Argentina. Universidad Nacional de General Sarmiento; Argentina  
dc.description.fil
Fil: Otero, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/abstract/document/9939933  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Congreso  
dc.description.nombreEvento
2022 IEEE Biennial Congress of Argentina  
dc.date.evento
2022-09-07  
dc.description.ciudadEvento
San Juan  
dc.description.paisEvento
Argentina  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Institute of Electrical and Electronics Engineers  
dc.description.institucionOrganizadora
Universidad Nacional de San Juan  
dc.source.libro
2022 IEEE Biennial Congress of Argentina  
dc.date.eventoHasta
2022-09-09  
dc.type
Congreso