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Coreloss Estimation via Long Short-Term Memory Model (LSTM) of Dry-Type Transformer based on FEA

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dc.contributor.authorKül, Seda
dc.contributor.authorYildiz, Berat
dc.contributor.authorTamyurek, Bunyamin
dc.contributor.authorİskender, İres
dc.contributor.authorID133746tr_TR
dc.date.accessioned2024-03-12T11:29:54Z
dc.date.available2024-03-12T11:29:54Z
dc.date.issued2021
dc.departmentÇankaya Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstract2021 10th International Conference on Renewable Energy Research and Application (ICRERA)en_US
dc.identifier.citationKül, Seda...et al. "Coreloss Estimation via Long Short-Term Memory Model (LSTM) of Dry-Type Transformer based on FEA", 2021 10th International Conference on Renewable Energy Research and Application (ICRERA), 2021.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/7536
dc.language.isoenen_US
dc.relation.ispartof2021 10th International Conference on Renewable Energy Research and Application (ICRERA)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLSTMen_US
dc.subjectEstimationen_US
dc.subjectFEAen_US
dc.subjectDry-Type Transformeren_US
dc.titleCoreloss Estimation via Long Short-Term Memory Model (LSTM) of Dry-Type Transformer based on FEAtr_TR
dc.titleCoreloss Estimation Via Long Short-Term Memory Model (Lstm) of Dry-Type Transformer Based on Feaen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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