Development and Comparison of Prediction Models for Estimating Short Term Energy Demand of a Hotel Building

dc.contributor.advisor Özlük, Özgür
dc.contributor.author Yılmaz, Selimcan
dc.date.accessioned 2019-11-12T13:41:58Z
dc.date.available 2019-11-12T13:41:58Z
dc.date.issued 2017
dc.description.abstract This 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.
dc.identifier.citation Yılmaz, S. (2017). Development and comparison of prediction models for estimating short term energy demand of a hotel building, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye
dc.identifier.uri https://hdl.handle.net/20.500.11779/1153
dc.language.iso en
dc.publisher MEF Üniversitesi, Fen Bilimleri Enstitüsü
dc.rights info:eu-repo/semantics/openAccess
dc.subject Electricity Demand Forecast
dc.subject Neural Network
dc.subject Random Forest
dc.subject Demand Prediction
dc.subject Time Series Analysis
dc.title Development and Comparison of Prediction Models for Estimating Short Term Energy Demand of a Hotel Building
dc.title.alternative Bir otel kompleksi için kısa vadeli elektrik tüketimi tahmin modelleri oluşturulması ve modellerin karşılaştırılması
dc.type Master's Degree Project
dspace.entity.type Publication
gdc.author.institutional Özlük, Özgür
gdc.coar.access open access
gdc.coar.type text::thesis::master thesis
gdc.description.department Lisansüstü Eğitim Enstitüsü, Büyük Veri Analitiği Yüksek Lisans Programı
gdc.description.publicationcategory YL-Bitirme Projesi
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