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)
J. Morales Pedraza, Electrical Energy Generation in Europe: The Current Situation and Perspectives in the Use of Renewable Energy Sources and Nuclear Power for Regional Electricity Generation, Springer, Ed. Springer, 2015.
S. Darby, "Making it obvious: designing feedback into energy consumption, " in Energy efficiency in household appliances and lighting. Springer, 2001, pp. 685-696.
G. W. Hart, "Nonintrusive appliance load monitoring, " Proceedings of the IEEE, vol. 80, no. 12, pp. 1870-1891, 1992.
A. Barbato, A. Capone, M. Rodolfi, and D. Tagliaferri, "Forecasting the usage of household appliances through power meter sensors for demand management in the smart grid, " in IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2011, pp. 404-409.
J. Lines, A. Bagnall, P. Caiger-Smith, and S. Anderson, "Classification of household devices by electricity usage profiles, " in Intelligent Data Engineering and Automated Learning-IDEAL 2011. Springer, 2011, pp. 403-412.
E. Elhamifar and S. Sastry, "Energy disaggregation via learning powerlets and sparse coding, " in Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.
M. Zeifman and K. Roth, "Nonintrusive appliance load monitoring: Review and outlook, " IEEE Transactions on Consumer Electronics, pp. 76-84, 2011.
M. E. Berges, E. Goldman, H. S. Matthews, and L. Soibelman, "Enhancing electricity audits in residential buildings with nonintrusive load monitoring, " Journal of industrial ecology, vol. 14, no. 5, pp. 844-858, 2010.
C. Laughman, K. Lee, R. Cox, S. Shaw, S. Leeb, L. Norford, and P. Armstrong, "Power signature analysis, " Power and Energy Magazine, IEEE, vol. 1, no. 2, pp. 56-63, 2003.
K. Basu, V. Debusschere, and S. Bacha, "Appliance usage prediction using a time series based classification approach, " in Thirty-Eighth Annual Conference of the IEEE Industrial Electronics Society (IECON). IEEE, 2012, pp. 1217-1222.
A. Nanopoulos, R. Alcock, and Y. Manolopoulos, "Feature-based classification of time-series data, " International Journal of Computer Research, vol. 10, no. 3, 2001.
J. J. Rodrguez and C. J. Alonso, "Interval and dynamic time warpingbased decision trees, " in Proceedings of the 2004 ACM symposium on Applied computing. ACM, 2004, pp. 548-552.
Y. Wu and E. Y. Chang, "Distance-function design and fusion for sequence data, " in Proceedings of the thirteenth ACM international conference on Information and knowledge management. ACM, 2004, pp. 324-333.
G. E. Batista, X. Wang, and E. J. Keogh, "A complexity-invariant distance measure for time series. " in Proceedings of the Eleventh SIAM International Conference on Data Mining (SDM), vol. 11, 2011, pp. 699-710.
C. A. Ratanamahatana and E. Keogh, "Three myths about dynamic time warping data mining, " in Proceedings of the 2005 SIAM International Conference on Data Mining (SDM05), 2005, pp. 506-510.
L. Ye and E. Keogh, "Time series shapelets: A new primitive for data mining, " in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2009, pp. 947-956.
A. Mueen, E. Keogh, and N. Young, "Logical-shapelets: An expressive primitive for time series classification, " in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2011, pp. 1154-1162.
T. Rakthanmanon and E. Keogh, "Fast shapelets: A scalable algorithm for discovering time series shapelets, " in Proceedings of the thirteenth SIAM conference on data mining (SDM), 2013.
J. Lin, E. Keogh, L. Wei, and S. Lonardi, "Experiencing sax: A novel symbolic representation of time series, " Data Mining and knowledge discovery, vol. 15, no. 2, pp. 107-144, 2007.
J. M. Ponte and W. B. Croft, "A language modeling approach to information retrieval, " in Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, 1998, pp. 275-281.
S. Varrette, P. Bouvry, H. Cartiaux, and F. Georgatos, "Management of an academic hpc cluster: The ul experience, " in Proc. of the 2014 Intl. Conf. on High Performance Computing & Simulation (HPCS 2014). Bologna, Italy: IEEE, July 2014, pp. 959-967.
Y. Chen, E. Keogh, B. Hu, N. Begum, A. Bagnall, A. Mueen, and G. Batista, "The ucr time series classification archive, " July 2015, www. cs. ucr. edu/?eamonn/time series data/.
J.-P. Zimmermann, M. Evans, J. Griggs, N. King, L. Harding, P. Roberts, and C. Evans, "Household electricity survey: A study of domestic electrical product usage, " Intertek Testing & Certification Ltd, 2012.
