Smart saver: A consumer-oriented web service for energy disaggregation

IEEE International Conference on Data Mining Workshops, ICDMW

Volumn 2015-January, Issue January, 2015, Pages 1235-1238

  Tang, Guoming ^a   Chen, Jie ^a   Chen, Cheng ^a   Wu, Kui ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; ENERGY UTILIZATION; WEBSITES;

BREAK DOWN; CURRENT ENERGY; DISAGGREGATION; POWER DATA; POWER MODEL; RECOVERY MODEL; TOTAL ENERGY CONSUMPTION; USER FRIENDLY;

WEB SERVICES;

EID: 84936888347     PISSN: 23759232     EISSN: 23759259     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2014.19     Document Type: Conference Paper

References (11)

1. EPA. Home product finder. http://www.energystar.gov/productfinder/, 2014.[Online; accessed in 18-June-2014].
2. S. Gupta, M. S. Reynolds, and S. N. Patel. Electrisense: single-point sensing using EMI for electrical event detection and classification in the home. In Proceedings of the 12th ACM international conference on Ubiquitous computing, pages 139-148. ACM, 2010.
3. G. W. Hart. Nonintrusive appliance load monitoring. Proceedings of the IEEE, 80(12):1870-1891, 1992.
4. C. C. Inc. Current cost products. http://www.currentcost.com/, 2014.[Online; accessed 20-June-2014].
5. H. Kim, M. Marwah, M. F. Arlitt, G. Lyon, and J. Han. Unsupervised disaggregation of low frequency power measurements. In SDM, pages 747-758, 2011.
6. J. Z. Kolter, S. Batra, and A. Ng. Energy disaggregation via discriminative sparse coding. In Advances in Neural Information Processing Systems, pages 1153-1161, 2010.
7. J. Z. Kolter and T. Jaakkola. Approximate inference in additive factorial hmms with application to energy disaggregation. In International Conference on Artificial Intelligence and Statistics, pages 1472-1482, 2012.
8. L. B. N. Laboratory. Standby power summary table. http://standby.lbl.gov/summary-table.html, 2014.[Online; accessed in 10-June-2014].
9. O. Parson, S. Ghosh, M. Weal, and A. Rogers. Non-intrusive load monitoring using prior models of general appliance types. In AAAI, 2012.
10. G. Tang, K. Wu, J. Lei, and J. Tang. Plug and play! a simple, universal model for energy disaggregation. http://arxiv.org/pdf/1404.1884v1, 2014.
11. M. Zeifman and K. Roth. Nonintrusive appliance load monitoring: Review and outlook. Consumer Electronics, IEEE Transactions on, 57(1):76-84, 2011.