| Texto completo | |
| Autor(es): |
Souza, Wesley A.
[1]
;
Marafao, Fernando P.
[2]
;
Liberado, Eduardo V.
[2]
;
Simoes, Marcelo G.
[3]
;
Da Silva, Luiz C. P.
[1]
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Campinas UNICAMP, Sch Elect & Comp Engn FEEC, Dept Energy & Syst DSE, Av Albert Einstein 400, BR-13083970 Campinas, SP - Brazil
[2] Univ Estadual Paulista UNESP, Inst Sci & Technol Sorocaba ICTS, Av Tres Marco 511, BR-18087180 Sorocaba, SP - Brazil
[3] Colorado Sch Mines, Dept Elect Engn, Golden, CO 80401 - USA
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 29, n. 6, p. 742-755, DEC 2018. |
| Citações Web of Science: | 2 |
| Resumo | |
This paper presents a novel dataset capable of classifying and disaggregating residential appliances for the development of smart or cognitive power meters. This novel dataset uses power indicators (also denoted as conformity factors) from the conservative power theory (CPT), which are calculated from measured voltage and current waveforms during the operation of residential loads. The association of CPT power indicators with suitable pattern recognition algorithms (PRA) and a power signature state machine provides proper identification of each appliance. So, the paper also presents a detailed evaluation of possible PRA for this application, especially the SVMsupport vector machine, OPFoptimum-path forest, MLPmultilayer perceptron, KNNK-nearest neighbor and DTdecision tree. All these algorithms have been compared regarding accuracy and computational time. Validation results point out that KNN would be the best choice for dealing with the proposed dataset, leading to an accuracy higher than 98%. (AU) | |
| Processo FAPESP: | 12/19375-1 - Estudo de técnicas de análise e tecnologias para o desenvolvimento de medidores inteligentes de energia com foco em microrredes residenciais |
| Beneficiário: | Wesley Angelino de Souza |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 16/08645-9 - Pesquisas interdisciplinares em redes inteligentes de energia elétrica |
| Beneficiário: | João Bosco Ribeiro do Val |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |