activity
20132020
most citedAn Approach for Assessing Clustering of Households by Electricity Usage

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

stat.AP2020

A method for evaluating options for motif detection in electricity meter data

Ian Dent, Tony Craig, Uwe Aickelin +1

Investigation of household electricity usage patterns, and matching the patterns to behaviours, is an important area of research given the centrality of such patterns in addressing…

cs.LG2014

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?

Ian Dent, Tony Craig, Uwe Aickelin +1

UK electricity market changes provide opportunities to alter households' electricity usage patterns for the benefit of the overall electricity network. Work on clustering similar h…

cs.CE2014★ 1 cited

An Approach for Assessing Clustering of Households by Electricity Usage

Ian Dent, Tony Craig, Uwe Aickelin +1

How a household varies their regular usage of electricity is useful information for organisations to allow accurate targeting of behaviour modification initiatives with the aim of…

cs.LG2013

Finding the creatures of habit; Clustering households based on their flexibility in using electricity

Ian Dent, Tony Craig, Uwe Aickelin +1

Changes in the UK electricity market, particularly with the roll out of smart meters, will provide greatly increased opportunities for initiatives intended to change households' el…

cs.CE2013

Creating Personalised Energy Plans. From Groups to Individuals using Fuzzy C Means Clustering

Ian Dent, Christian Wagner, Uwe Aickelin +1

Changes in the UK electricity market mean that domestic users will be required to modify their usage behaviour in order that supplies can be maintained. Clustering allows usage pro…

cs.CE2013

The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences using UK data

Ian Dent, Uwe Aickelin, Tom Rodden

This paper describes a method for defining representative load profiles for domestic electricity users in the UK. It considers bottom up and clustering methods and then details the…

cs.CE2013

Application of a clustering framework to UK domestic electricity data

Ian Dent, Uwe Aickelin, Tom Rodden

This paper takes an approach to clustering domestic electricity load profiles that has been successfully used with data from Portugal and applies it to UK data. Clustering techniqu…