Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Profiling household appliance electricity usage with n-gram language modeling
LI, Daoyuan; BISSYANDE, Tegawendé François D Assise; KUBLER, Sylvain et al.
2016In The 2016 IEEE International Conference on Industrial Technology (ICIT 2016)
Peer reviewed
 

Files


Full Text
paper.pdf
Author preprint (242.95 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
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)
External co-authors :
no
Language :
English
Title :
Profiling household appliance electricity usage with n-gram language modeling
Publication date :
March 2016
Event name :
The 2016 IEEE International Conference on Industrial Technology (ICIT 2016)
Event date :
from 14-03-2016 to 17-03-2016
Audience :
International
Main work title :
The 2016 IEEE International Conference on Industrial Technology (ICIT 2016)
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 03 February 2016

Statistics


Number of views
243 (36 by Unilu)
Number of downloads
376 (12 by Unilu)

Scopus citations®
 
14
Scopus citations®
without self-citations
8

Bibliography


Similar publications



Contact ORBilu