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Article

Dent, Ian, Craig, Tony, Aickelin, Uwe and Rodden, Tom (2018) A method for evaluating options for motif detection in electricity meter data. Journal of Data Science, 16 (1). ISSN 1683-8602

Conference or Workshop Item

Dent, Ian, Craig, Tony, Aickelin, Uwe and Rodden, Tom (2012) Finding the creatures of habit: clustering households based on their flexibility in using electricity. In: Digital Futures 2012: the Third Annual Digital Economy All Hands Conference, 23-25 Oct 2012, Aberdeen, UK.

Dent, Ian, Craig, Tony, Aickelin, Uwe and Rodden, Tom (2012) An approach for assessing clustering of households by electricity usage. In: UKCI 2012, the 12th Annual Workshop on Computational Intelligence, 5-7 Sept 2012, Edinburgh, Scotland. (Unpublished)

Dent, Ian, Aickelin, Uwe and Rodden, Tom (2011) The application of a data mining framework to energy usage profiling in domestic residences using UK data. In: Buildings Don't Use Energy, People Do: Research Students' Conference, 28 June 2011, Bath, England. (Unpublished)

Dent, Ian, Aickelin, Uwe and Rodden, Tom Application of a clustering framework to UK domestic electricity data. In: UKCI 2011, the 11th Annual Workshop on Computational Intelligence, 2011, Manchester. (Unpublished)

Dent, Ian, Wagner, Christian, Aickelin, Uwe and Rodden, Tom Creating personalised energy plans: from groups to individuals using Fuzzy C Means Clustering. In: Digital Engagement 11, November 2011, Dundee, Scotland. (Unpublished)

Book Section

Dent, Ian, Craig, Tony, Aickelin, Uwe and Rodden, Tom (2014) Variability of behaviour in electricity load profile clustering: who does things at the same time each day? In: Advances in data mining: applications and theoretical aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014: proceedings. Lecture notes in computer science (8557). Springer International Publishing, Cham, pp. 70-84. ISBN 9783319089768 (electronic bk.); 9783319089751 (print)

Thesis (University of Nottingham only)

Dent, Ian (2015) Deriving knowledge of household behaviour from domestic electricity usage metering. PhD thesis, University of Nottingham.