Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1153
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dc.contributor.advisorÖzlük, Özgür-
dc.contributor.authorYılmaz, Selimcan-
dc.date.accessioned2019-11-12T13:41:58Z
dc.date.available2019-11-12T13:41:58Z
dc.date.issued2017-
dc.identifier.citationYılmaz, S. (2017). Development and comparison of prediction models for estimating short term energy demand of a hotel building, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiyeen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1153-
dc.description.abstractThis project presents a machine learning model building approach to developing a model for predicting next hour electricity consumption of a hotel complex in Cyprus, with the aim of improving existing prediction accuracy due to comparing different models to choose best performing. Model building process in this project includes three main steps.en_US
dc.language.isoenen_US
dc.publisherMEF Üniversitesi, Fen Bilimleri Enstitüsüen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectElectricity Demand Forecasten_US
dc.subjectNeural Networken_US
dc.subjectRandom Foresten_US
dc.subjectDemand Predictionen_US
dc.subjectTime Series Analysisen_US
dc.titleDevelopment and comparison of prediction models for estimating short term energy demand of a hotel buildingen_US
dc.title.alternativeBir otel kompleksi için kısa vadeli elektrik tüketimi tahmin modelleri oluşturulması ve modellerin karşılaştırılmasıen_US
dc.typeMaster's Degree Projecten_US
dc.relation.publicationcategoryYL-Bitirme Projesien_US
dc.departmentBüyük Veri Analitigi Yüksek Lisans Programıen_US
dc.institutionauthorYılmaz, Selimcan-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypeMaster's Degree Project-
Appears in Collections:FBE, Yüksek Lisans, Proje Koleksiyonu
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