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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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
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Sustainable Development Goals
1
NO POVERTY
2
ZERO HUNGER
3
GOOD HEALTH AND WELL-BEING
4
QUALITY EDUCATION
5
GENDER EQUALITY
7
AFFORDABLE AND CLEAN ENERGY
8
DECENT WORK AND ECONOMIC GROWTH
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
10
REDUCED INEQUALITIES
11
SUSTAINABLE CITIES AND COMMUNITIES
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
13
CLIMATE ACTION
14
LIFE BELOW WATER
15
LIFE ON LAND
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
17
PARTNERSHIPS FOR THE GOALS
