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A New Approach for Next Day Load Forecasting Integrating Artificial Neural Network Model with Weighted Frequency Bin Blocks

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dc.contributor.authorMehmet Kurban
dc.contributor.authorKurban, Mehmet
dc.contributor.authorÜmmühan Başaran Filik
dc.contributor.authorFilik, Ümmühan Başaran
dc.contributor.orcid0000-0003-2618-2861
dc.contributor.orcid0000-0002-0715-821X
dc.date.accessioned2025-11-13T12:24:03Z
dc.date.issued2008-07-31
dc.identifier.doihttps://doi.org/10.1007/978-3-540-69162-4_73
dc.identifier.endpage712
dc.identifier.issn0302-9743
dc.identifier.openalexW1516007323
dc.identifier.startpage703
dc.identifier.urihttps://hdl.handle.net/11421/9914
dc.identifier.urihttps://doi.org/10.1007/978-3-540-69162-4_73
dc.language.isoen
dc.relation.ispartofLecture notes in computer science
dc.rightsrestrictedAccess
dc.subjectArtificial neural network
dc.subjectBin
dc.subjectMean squared error
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectData mining
dc.subjectAlgorithm
dc.subjectMachine learning
dc.subjectMathematics
dc.subjectStatistics
dc.titleA New Approach for Next Day Load Forecasting Integrating Artificial Neural Network Model with Weighted Frequency Bin Blocks
dc.typebook-chapter
dspace.entity.typePublication
local.authorid.openalexA5027921982
local.authorid.openalexA5043720840

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