Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1785

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Institution Author: search.filters.institutionAuthor.Yılmaz, SelimcanSubject: search.filters.subject.Random Forest

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  • Master Term Project
    Development and Comparison of Prediction Models for Estimating Short Term Energy Demand of a Hotel Building
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017) Yılmaz, Selimcan; Özlük, Özgür
    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.