Adopting Internet of Things (IoT)-based technologies in smart homes helps users analyze
home appliances electricity consumption for better overall cost monitoring. The IoT …

We propose a machine learning-based methodology which makes use of ensemble
methods with the aims (i) of treating missing data in time series with irregular observation …

The operation of HVAC (heating, ventilation, and air-conditioning) accounts for a large
proportion of energy consumption in buildings. Accurate estimation of the energy demand …

Abstract [eng] As a result of worldwide deregulation of electricity markets, electricity can be
bought and sold like any other commodity. Considering the increase of renewables …

Over the past thirty years, heating in at least 79% of UK homes has involved warming the
entire indoor space through the use of a central heating system (Office of National Statistics …

The trace analysis for datacenter holds a prominent importance for the datacenter
performance optimization. However, due to the error and low execution priority of trace …

In recent years, our Marine economy has been rapidly developed, and the proportion of our
national economy has been increasing year by year, but it faces deep structural imbalance …

This diploma thesis is part of the research field of energy data analysis and more specifically
of the application of machine learning and data mining techniques in load time series. In this …