This paper aims to investigate the socio-economic, dwelling and appliance related factors
that have significant or non-significant effects on domestic electricity consumption. To …

Building energy prediction techniques are the primary tool for moving towards sustainable
built environments. Energy prediction models play irreplaceable roles in making energy …

This paper tests to what extent different types of variables (building factors, socio-
demographics, appliance ownership and use, attitudes and self-reported behaviours) …

One of the most common demand side management programs consists of time-of-use (TOU)
tariffs, where consumers are charged differently depending on the time of the day when they …

For better energy evaluation and management, a categorical boosting (CatBoost)-based
predictive method is presented to accurately estimate building energy consumption by …

This paper presents a model to simulate the electricity demand of a single household
consisting of multiple individuals. The total consumption is divided into four main categories …

Improvements of energy efficiency and reduction of Electricity Consumption (EC) could be
pushed by increased knowledge on consumption profiles. This paper contributes to a …

Residential electricity demand in most European countries accounts for a major proportion
of overall electricity consumption. The timing of residential electricity demand has significant …

As a large part of primary energy consumption in different countries is related to the
residential sector, a reduction in energy consumption at the" household-scale" may …

Over the last few years, the fast-growing energy needs across the world have intensified a
central challenge: how to reduce the generation and operation costs in power systems and …