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Preprocessing data for short-term load forecasting with a general regression neural network and a moving average filter

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dc.contributor.authorNose-Filho, K. [UNESP]
dc.contributor.authorLotufo, A. D P [UNESP]
dc.contributor.authorMinussi, C. R. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:26:03Z
dc.date.available2014-05-27T11:26:03Z
dc.date.issued2011-10-05
dc.description.abstractThis paper proposes a filter based on a general regression neural network and a moving average filter, for preprocessing half-hourly load data for short-term multinodal load forecasting, discussed in another paper. Tests made with half-hourly load data from nine New Zealand electrical substations demonstrate that this filter is able to handle noise, missing data and abnormal data. © 2011 IEEE.en
dc.description.affiliationDepartment of Electrical Engineering College of Engineering of Ilha Solteira (UNESP), Ilha Solteira, SP
dc.description.affiliationUnespDepartment of Electrical Engineering College of Engineering of Ilha Solteira (UNESP), Ilha Solteira, SP
dc.identifierhttp://dx.doi.org/10.1109/PTC.2011.6019428
dc.identifier.citation2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011.
dc.identifier.doi10.1109/PTC.2011.6019428
dc.identifier.lattes7166279400544764
dc.identifier.scopus2-s2.0-80053350091
dc.identifier.urihttp://hdl.handle.net/11449/72741
dc.language.isoeng
dc.relation.ispartof2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectArtificial Neural Networks
dc.subjectMoving Average Filter
dc.subjectShort Term Load Forecasting
dc.subjectSignal Processing
dc.subjectTraining Dataset
dc.subjectAbnormal data
dc.subjectElectrical substations
dc.subjectFilter-based
dc.subjectGeneral regression neural network
dc.subjectLoad data
dc.subjectLoad forecasting
dc.subjectMissing data
dc.subjectMoving average filter
dc.subjectNew zealand
dc.subjectForecasting
dc.subjectNeural networks
dc.subjectSignal processing
dc.subjectSustainable development
dc.subjectElectric load forecasting
dc.titlePreprocessing data for short-term load forecasting with a general regression neural network and a moving average filteren
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
unesp.author.lattes7166279400544764[3]
unesp.author.lattes6022112355517660[2]
unesp.author.orcid0000-0002-0192-2651[2]
unesp.author.orcid0000-0001-6428-4506[3]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Ilha Solteirapt
unesp.departmentEngenharia Elétrica - FEISpt

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Ilha Solteira - FEIS - Faculdade de Engenharia