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

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1153

Title:	Development and Comparison of Prediction Models for Estimating Short Term Energy Demand of a Hotel Building
Other Titles:	Bir otel kompleksi için kısa vadeli elektrik tüketimi tahmin modelleri oluşturulması ve modellerin karşılaştırılması
Authors:	Yılmaz, Selimcan
Advisors:	Özlük, Özgür
Keywords:	Electricity Demand Forecast Neural Network Random Forest Demand Prediction Time Series Analysis
Publisher:	MEF Üniversitesi, Fen Bilimleri Enstitüsü
Source:	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
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.
URI:	https://hdl.handle.net/20.500.11779/1153
Appears in Collections:	FBE, Yüksek Lisans, Proje Koleksiyonu