Embedded NILM as Home Energy Management System: A Heterogeneous Computing Approach

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.creatorDeluno Garcia, Fernando [UNESP]-
Autor(es): dc.creatorAngelino De Souza, Wesley-
Autor(es): dc.creatorPinhabel Marafao, Fernando [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:34:23Z-
Data de disponibilização: dc.date.available2022-02-22T00:34:23Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-02-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2019.9082249-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/201735-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/201735-
Descrição: dc.descriptionThis paper presents an embedded NILM engine to enable load disaggregation intelligence and explore its potential application as an energy management system. In this sense, the power meter is upgraded to a novel category called cognitive power meter. Therefore, this paper discloses a heterogeneous multiprocessing approach to attend NILM prerequisites and increase household interactivity. The proposed NILM performs the microscopic analysis using the Conservative Power Theory (CPT) for feature extraction; k-Nearest Neighbors (k-NN) for the appliance classification; and the Power Signature Blob (PSB) for energy disaggregation. Results show NILM can be performed on-site, embedded into modern cognitive power meters, and it may support households on providing valuable information concerning appliances' usage for energy management systems.-
Descrição: dc.descriptionInstitute of Science and Technology of Sorocaba São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Computer Science Federal University of São Carlos (UFSCar)-
Descrição: dc.descriptionInstitute of Science and Technology of Sorocaba São Paulo State University (UNESP)-
Formato: dc.format360-367-
Idioma: dc.languagept_BR-
Relação: dc.relationIEEE Latin America Transactions-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCognitive meter-
Palavras-chave: dc.subjectenergy management-
Palavras-chave: dc.subjectenergy meter-
Palavras-chave: dc.subjectNILM-
Palavras-chave: dc.subjectsmart metering-
Título: dc.titleEmbedded NILM as Home Energy Management System: A Heterogeneous Computing Approach-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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