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

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.