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Number of items: 7.

Conference or Workshop Item

Dent, Ian and Craig, Tony and 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 and Craig, Tony and 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 (Unpublished)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 and 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 (Unpublished)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 and 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 (Unpublished)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 and Wagner, Christian and 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 (Unpublished)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 and Craig, Tony and 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.

This list was generated on Thu Oct 19 20:10:25 2017 UTC.