The increasing penetration of smart meters provides an excellent opportunity to monitor and
analyze energy consumption in residential buildings. In this paper, we propose a framework …

Tailored energy efficiency campaigns that make use of household-specific information can
trigger substantial energy savings in the residential sector. The information required for such …

Smart meters that allow information to flow between users and utility service providers are
expected to foster intelligent energy consumption. Previous studies focusing on demand …

In this paper, we investigate a critical problem in smart meter data mining: computing
electricity consumption profiles. We present a simple, interpretable and practical profiling …

Utilities are currently deploying smart electricity meters in millions of households worldwide
to collect fine-grained electricity consumption data. We present an approach to automatically …

Smart electricity meters allow capturing consumption load profiles of residential buildings.
Besides several other applications, the retrieved data renders it possible to reveal …

The main goal of this research is to discover the structure of home appliances usage
patterns, hence providing more intelligence in smart metering systems by taking into account …

Knowing household properties, such as number of persons per apartment, age of housing,
type of water heating, etc. enables energy consultants and utilities to develop targeted …

The smart meter data analysis contributes to better planning and operations for the power
system. This study aims to identify the drivers of residential energy consumption patterns …

Effective demand-side energy efficiency policies are needed to reduce residential electricity
consumption and its harmful effects on the environment. The first step to devise such polices …