Nonintrusive, self-organizing, and probabilistic classification and identification of plugged-in electric loads

IEEE Transactions on Smart Grid

Volumn 4, Issue 3, 2013, Pages 1371-1380

  Du, Liang ^a   Restrepo, Jose A ^c   Yang, Yi ^d   Harley, Ronald G ^a,b   Habetler, Thomas G ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF KWAZULU NATAL   (South Africa)

^c UNIVERSIDAD SIMÓN BOLÍVAR   (Venezuela)

^d EATON CORPORATION   (United States)

Author keywords

Electric load identification; high efficiency buildings; nonintrusive load monitoring; self organizing map

Indexed keywords

COMMERCIAL BUILDING; ELECTRICITY-CONSUMPTION; FRONT-END POWER; LOAD IDENTIFICATION; NONINTRUSIVE LOAD MONITORING; PROBABILISTIC CLASSIFICATION; STATISTICAL INFORMATION; SUPERVISED SELF-ORGANIZING MAP;

CONFORMAL MAPPING; ELECTRIC LOAD MANAGEMENT; OFFICE BUILDINGS; SELF ORGANIZING MAPS;

ELECTRIC LOADS;

EID: 84883292095     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2013.2263231     Document Type: Article

References (27)

1. "Annual Energy Review 2011," Energy Information Administration, U.S. Department of Energy, Washington, DC, USA, DOC/EIA-0384, 2012.
2. "Annual Energy Outlook 2010: With projections to 2035," Energy Information Administration, U.S. Department of Energy, Washington, DC, USA, DOC/EIA-0383(2010), 2010.
3. Lawrence Berkeley National Laboratory, Standby Power Home Page [Online]. Available: http://standby.lbl.gov/
4. "Building America: Resources for energy efficient homes" [Online]. Available: http://www1.eere.energy.gov/buildings/building-america/
5. U.S. Energy Information Administration, "Miscellaneous electricity services in the buildings sector," 2007 [Online]. Available: http://www. eia.gov/oiaf/aeo/otheranalysis/mesbs.html
6. P. Zhang, C. Zhou, B.G. Stewart, D.M.Hepburn,W. Zhou, and J. Yu, "An improved non-intrusive load monitoring method for recognition of electric vehicle battery charging load," Energy Procedia, vol. 12, pp. 104-112, 2011.
7. G.W. Hart, E. C. Kern, and F. C. Schweppe, "Non-intrusive appliance monitor apparatus," U.S. Patent 4 858 141, Aug. 15, 1989.
8. G. W. Hart, "Nonintrusive appliance load monitoring," Proc. IEEE, vol. 80, pp. 1870-1891, 1992.
9. L. K. Norford andS. B. Leeb, "Non-intrusive electrical loadmonitoring in commercial buildings based on steady-state and transient load-detection algorithms," Energy Buildings, vol. 24, pp. 54-61, 1996.
10. S. Drenker and A. Kader, "Nonintrusive monitoring of electric loads," IEEE Comput. Appl. Power, vol. 12, pp. 47-51, 1999. (Pubitemid 30524310)
11. C. Laughman et al., "Power signature analysis," IEEE Power Energy Mag., vol. 2, pp. 56-63, 2003.
12. J. Liang, S. Ng, G. Kendall, and J. Cheng, "Load signature study-Part I: Basic concept, structure, and methodology," IEEE Trans. Power Del., vol. 25, pp. 551-560, 2010.
13. F. Sultanem, "Using appliance signatures for monitoring residential loads at meter panel level," IEEE Trans. Power Del., vol. 6, pp. 1380-1385, 1991. (Pubitemid 21717522)
14. H. Y. Lam, G. S. K. Fung, andW. K. Lee, "A novelmethod to construct taxonomy electrical appliances based on load signatures," IEEE Trans. Consum. Electron., vol. 53, pp. 653-660, 2007. (Pubitemid 47215083)
15. D. Srinivasan, W. S. Ng, and A. C. Liew, "Neural-network-based signature recognition for harmonic source identification," IEEE Trans. Power Del., vol. 21, pp. 398-405, 2006. (Pubitemid 43279826)
16. S. N. Patel, T. Robertson, J. A. Kientz, M. S. Reynolds, and G. D. Abowd, "At the flick of a switch: Detecting and classifying unique electrical events on the residential power line," in Proc. 9th Int. Conf. Ubiquitous Comput., Innsbruck, Austria, 2007, pp. 271-288.
17. Z.Wang and G. Zheng, "Residential appliances identification andmonitoring by a nonintrusive method," IEEE Trans. Smart Grid, vol. 3, pp. 80-92, 2012.
18. Y. Du, L. Du, B. Lu, R. G. Harley, and T. G. Habetler, "A review of identification and monitoring methods for electric loads in commercial and residential buildings," in Proc. IEEE Energy Convers. Conf. Expo., Atlanta, GA, USA, 2010, pp. 4527-4533.
19. T. Kohonen, Self-Organising Maps, 3rd ed. New York: Springer, 2001.
20. D. He, L. Du, Y. Yang, R. G. Harley, and T. G. Habetler, "Front-end electronic circuit topology analysis for model-driven classification and monitoring of appliance loads in smart buildings," IEEE Trans. Smart Grid, vol. 3, pp. 2286-2293, 2012.
21. L. Du et al., "Self-organizing classification and identification of miscellaneous electric loads," in Proc. IEEE Power Energy Soc. Gen. Meet., San Diego, CA, USA, 2012.
22. E. Alhoniemi, J. Himberg, J. Parhankangas, and J. Vesanto, SOM Toolbox for Matlab 2005 [Online]. Available: http://www.cis.hut.fi/somtoolbox/
23. A. Ultsch and H. P. Siemon, "Kohonen's self organizing feature maps for exploratory data analysis," in Proc. Int. Neural Netw. Conf. (INNC'90), pp. 305-308.
24. L. Du, Y. Yang, Dawei, R. G. Harley, and T. G. Habetler, "Support vector machine based methods for non-intrusive identification of miscellaneous electric loads," in Proc. 38th Annu. Conf. IEEE Ind. Electron. Soc., Montreal, QC, Canada, 2012.
25. S. Theodoridis and K. Koutroumbas, Pattern Recognition, 4th ed. Burlington, MA, USA: Academic, 2008.
26. G. Lefebvre and C. Garcia, "A probabilistic self-organizing map for facial recognition," in Proc. 19th IEEE Int. Conf. Pattern Recog., 2008, pp. 1-4.
27. D. He, L. Du, R. Harley, T. Habetler, and Y. Yang, "Electronic circuit survey for office loadmonitoring and identification," in Proc. IEEE Energy Convers. Conf. Expo., Raleigh, NC, USA, 2012, pp. 1228-1232.