Electrical load forecasting in disaggregated levels using Fuzzy ARTMAP artificial neural network and noise removal by singular spectrum analysis

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Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorWestern Parana State University – UNIOESTE-
Autor(es): dc.contributorFederal Latin-American Integration University-
Autor(es): dc.creatorMüller, M. R. [UNESP]-
Autor(es): dc.creatorGaio, G.-
Autor(es): dc.creatorCarreno, E. M.-
Autor(es): dc.creatorLotufo, A. D.P. [UNESP]-
Autor(es): dc.creatorTeixeira, L. A.-
Data de aceite: dc.date.accessioned2022-02-22T00:49:00Z-
Data de disponibilização: dc.date.available2022-02-22T00:49:00Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-07-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s42452-020-2988-5-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/207031-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/207031-
Descrição: dc.descriptionElectrical load forecasting in disaggregated levels is a difficult task due to time series randomness, which leads to noise and consequently affects the quality of predictions. To mitigate this problem, noise removal using singular spectrum analysis (SSA) is used in this work in conjunction with a Fuzzy ARTMAP artificial neural network, presenting excellent results when compared with traditional methods like SARIMA. A reduction of almost 50% on the MAPE is achieved. The SSA method is preferable to other filtering methods because it has a low computational cost, depends on a small number of parameters, requires few data to present good results, and it does not cause delay into the denoised series.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionElectrical Engineering Department UNESP-FEIS-
Descrição: dc.descriptionEngineering and Exact Sciences Center - CECE Western Parana State University – UNIOESTE-
Descrição: dc.descriptionUNILA Federal Latin-American Integration University-
Descrição: dc.descriptionElectrical Engineering Department UNESP-FEIS-
Idioma: dc.languageen-
Relação: dc.relationSN Applied Sciences-
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Palavras-chave: dc.subjectForecasting-
Palavras-chave: dc.subjectFuzzy ARTMAP-
Palavras-chave: dc.subjectPower load-
Palavras-chave: dc.subjectSingular spectrum analysis-
Título: dc.titleElectrical load forecasting in disaggregated levels using Fuzzy ARTMAP artificial neural network and noise removal by singular spectrum analysis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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