Recently there has been a significant proliferation in the use of forecasting techniques,
mainly due to the increased availability and power of computation systems and, in particular …

The emergence of smart grid technologies and applications has meant there is increasing
interest in utilising smart meters. Smart meter penetration has significantly increased over …

Smart meters have been deployed in many countries across the world since early 2000s.
The smart meter as a key element for the smart grid is expected to provide economic, social …

Clustering methods are increasingly being applied to residential smart meter data, which
provides a number of important opportunities for distribution network operators (DNOs) to …

Detecting when a household is occupied by its residents is fundamental to enable a number
of home automation applications. Current systems for occupancy detection usually require …

The building sector contributes significantly to overall energy consumption and carbon
emissions. Improving renewable energy utilization in buildings is of considerable …

According to the increase in electricity consumption in residential buildings, advanced
metering infrastructures (AMIs) have been widely installed in residential buildings. AMIs help …

Clustering of electricity customers supports effective market segmentation and management.
The literature suggests the clustering of residential customers by their load characteristics …

Household monthly electricity consumption pattern mining is to discover different energy use
patterns of households in a month from their daily electricity consumption data. In this study …

Occupancy detection for buildings is crucial to improving energy efficiency, user comfort, and
space utility. However, existing methods require dedicated system setup, continuous …