Estimation of Short-Term Power Load of a Small House by Generalized Behavioural Learning Method

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dc.authoridERTUGRUL, Ömer Faruk/0000-0003-0710-0867
dc.authoridTağluk, M. Emin/0000-0001-7789-6376
dc.authorwosidERTUGRUL, Ömer Faruk/F-7057-2015
dc.authorwosidTağluk, M. Emin/ABH-1005-2020
dc.contributor.authorErtugrul, Omer Faruk
dc.contributor.authorTagluk, Mehmet Emin
dc.date.accessioned2024-08-04T20:43:15Z
dc.date.available2024-08-04T20:43:15Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG) -- APR 19-21, 2017 -- Istanbul, TURKEYen_US
dc.description.abstractPower load estimation, especially short-term power load estimation, plays an important role in the management of a power system in terms of system security and electricity costs. Therefore, estimation of short-term power load accurately is a popular research issue. In this paper, the generalized behavioral learning method (GBLM), a method developed based on human's behavioral learning theories, was employed to estimate short-term power load. The datasets that belong to houses B and C were employed in the estimation process. Achieved results by GBLM and extreme learning machine (ELM) ELM were compared. It is showed that GBLM estimates short-term power load with a higher success rate than ELM.en_US
dc.description.sponsorshipRepubl Turkey, Minist Energy & Nat Resources,Republ Turkey, Minist Environm & Urbanisat,Republ Turkey, Minist Sci Ind & Technol,IEEE Power & Energy Socen_US
dc.identifier.endpage89en_US
dc.identifier.isbn978-1-5090-5938-6
dc.identifier.scopus2-s2.0-85023162291en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage85en_US
dc.identifier.urihttps://hdl.handle.net/11616/97886
dc.identifier.wosWOS:000411752300016en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 5th International Istanbul Smart Grid and Cities Congress and Fair (Icsg)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeneralized Behavioral Learningen_US
dc.subjectExtreme Learning Machineen_US
dc.subjectPower Load Estimationen_US
dc.subjectSmall Houseen_US
dc.subjectShort-Term Power Loaden_US
dc.titleEstimation of Short-Term Power Load of a Small House by Generalized Behavioural Learning Methoden_US
dc.typeConference Objecten_US

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