Profiling household appliance electricity usage with n-gram language modeling

Reference : Profiling household appliance electricity usage with n-gram language modeling


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/24163

Title :	Profiling household appliance electricity usage with n-gram language modeling
Language :	English
Author, co-author :	Li, Daoyuan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bissyande, Tegawendé François D Assise [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Kubler, Sylvain [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Klein, Jacques [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Mar-2016
Main document title :	The 2016 IEEE International Conference on Industrial Technology (ICIT 2016)
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	The 2016 IEEE International Conference on Industrial Technology (ICIT 2016)
Event date :	from 14-03-2016 to 17-03-2016
Event place (city) :	Taipei
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/24163

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