Development and Comparison of Prediction Models for Estimating Short Term Energy Demand of a Hotel Building
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Date
2017
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MEF Üniversitesi, Fen Bilimleri Enstitüsü
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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.
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Electricity Demand Forecast, Neural Network, Random Forest, Demand Prediction, Time Series Analysis
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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
