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Number of items: 6. 2018Dent, 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 2015Dent, Ian (2015) Deriving knowledge of household behaviour from domestic electricity usage metering. PhD thesis, University of Nottingham. 2014Dent, 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) 2012Dent, 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 (Unpublished) 2011Dent, Ian, Aickelin, Uwe and Rodden, Tom (2011) The application of a data mining framework to energy usage profiling in domestic residences using UK data.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 (Unpublished) |
