Non-intrusive load monitoring by novel neuro-fuzzy classification considering uncertainties

IEEE Transactions on Smart Grid

Volumn 5, Issue 5, 2014, Pages 2376-2384

  Lin, Yu Hsiu ^a   Tsai, Men Shen ^a  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Energy management system; neuro fuzzy classification; non intrusive load monitoring; particle swarm optimization; smart grid; smart house

Indexed keywords

DOMESTIC APPLIANCES; ENERGY MANAGEMENT; FUZZY LOGIC; FUZZY SYSTEMS; HOUSES; INTELLIGENT BUILDINGS; PARTICLE SWARM OPTIMIZATION (PSO); SMART POWER GRIDS;

ELECTRICAL SIGNATURES; FUZZY C MEANS CLUSTERING; HOME ENERGY MANAGEMENT SYSTEMS; HYBRID CLASSIFICATION; LOAD IDENTIFICATION; NEURO FUZZY CLASSIFICATION; NONINTRUSIVE LOAD MONITORING; SMART GRID;

ENERGY MANAGEMENT SYSTEMS;

EID: 85027926695     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2014.2314738     Document Type: Article

References (30)

1. M. S. Tsai and Y. H. Lin, "Modern development of an adaptive non-intrusive appliance load monitoring system in electricity energy conservation," Appl. Energy, vol. 96, pp. 55-73, Aug. 2012.
2. M. Dong, P. C. M. Meira, X. Wilsun, and W. Freitas, "An event window based load monitoring technique for smart meters," IEEE Trans. Smart Grid, vol. 3, no. 2, pp. 787-796, May 2012.
3. S. Drenker and A. Kader, "Nonintrusive monitoring of electric loads," IEEE Comput. Appl. Power, vol. 12, no. 4, pp. 47-51, Oct. 1999.
4. C. Laughman, K. Lee, R. Cox, S. Shaw, S. Leeb, L. Norford, and P. Armstrong, "Power signature analysis," IEEE Power EnergyMag., vol. 1, no. 2, pp. 56-63, Mar.-Apr. 2003.
5. A. Shrestha, E. L. Foulks, and R. W. Cox, "Dynamic load shedding for shipboard power systems using the non-intrusive load monitor," in Proc. 2009 IEEE Electric Ship Technol. Symp., pp. 412-419.
6. H. H. Chang, C. L. Lin, and H. T. Yang, "Load recognition for different loads with the same real power and reactive power in a non-intrusive load-monitoring system," in Proc. 2008 12th Int. Conf. Comput. Supported Cooperative Work in Design, pp. 1122-1127.
7. A. Cole and A. Albicki, "Nonintrusive identification of electrical loads in a three-phase environment based on harmonic content," in Proc. 2000 17th IEEE Int. Instrum. Meas. Technol. Conf., pp. 24-29.
8. Y. Nakano and H. Murata, "Non-intrusive electric appliances load monitoring system using harmonic pattern recognition-performance test results at real households," in Proc. 2006 4th Int. Conf. Energy Efficiency in Domestic Appl. Lighting, pp. 477-488.
9. T. Saitoh, T.Osaki, R. Konishi, andK. Sugahara, "Current sensor based home appliances and state of appliance recognition," SICE J. Contr., Meas., Syst. Integr., vol. 3, no. 2, pp. 86-93, Mar. 2010.
10. H. H. Chang, L. S. Lin, N. M. Chen, and W. J. Lee, "Particle swarm optimization based non-intrusive demand monitoring and load identification in smart meters," in Proc. 2012 IEEE Ind. Appl. Soc. Ann. Meeting (IAS), pp. 1-8.
11. D. C. Bergman, D. Jin, J. P. Juen, N. Tanaka, C. A. Gunter, and A. K. Wright, "Distributed non-intrusive load monitoring," in Proc. IEEE/PES Conf. Innovative Smart Grid Technol., Anaheim,CA, USA, Jan. 17-19, 2011, pp. 1-8.
12. D. C. Bergman, D. Jin, J. P. Juen, N. Tanaka, C. A. Gunter, and A. K. Wright, "Nonintrusive load-shed verification," IEEE Pervasive Comput., vol. 10, no. 1, pp. 49-57, Jan.-Mar. 2011.
13. L. Du, J. A. Restrepo, Y. Yang, R. G. Harley, and T. G. Habetler, "Nonintrusive, self-organizing, probabilistic classification and identification of plugged-in electric loads," IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1371-1380, Sep. 2013.
14. 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, Dec. 2012.
15. M. Dong, P. C. M. Meira, W. Xu, and C. Y. Chung, "Non-intrusive signature extraction for major residential loads," IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1421-1430, Sep. 2013.
16. S.B. Leeb, S.R. Shaw, and J. L. Kirtley, Jr., "Transient event detection in spectral envelope estimates for nonintrusive load monitoring," IEEE Trans. Power Del., vol. 10, no. 3, pp. 1200-1210, Jul. 1995.
17. S. R. Shaw, S. B. Leeb, L. K. Norford, and R.W. Cox, "Nonintrusive load monitoring and diagnostics in power systems," IEEE Trans. Instrum. Meas., vol. 57, no. 7, pp. 1445-1454, Jul. 2008.
18. H. T. Yang, H. H. Chang, and C. L. Lin, "Design a neural network for features selection in non-intrusive monitoring of industrial electrical loads," in Proc. 2007 11th Int. Conf. Comput. Supported Cooperative Work Design, pp. 1022-1027.
19. H. H. Chang, C. L. Lin, and L. S. Weng, "Application of artificial intelligence and non-intrusive energy-managing system to economic dispatch strategy for cogeneration system and utility," in Proc. 2009 13th Int. Conf. Comput. Supported Cooperative Work Design, pp. 740-745.
20. H. H. Chang, "Non-intrusive demand monitoring and load identification for energy management systems based on transient feature analyses," Energies, vol. 5, pp. 4569-4589, Jul. 2012.
21. H. H. Chang, K. L. Chen, Y. P. Tsai, and W. J. Lee, "A new measurement method for power signatures of non-intrusive demand monitoring and load identification," IEEE Trans. Ind. Appl., vol. 48, no. 2, pp. 764-771, Mar./Apr. 2012.
22. L. X.Wang, A Course in Fuzzy System and Control. Taiwan:Pearson Education Taiwan Ltd., 2005.
23. C. T. Lin and C. S. George Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems. Taiwan: Prentice Hall/Pearson Education Taiwan Ltd., 2003.
24. M. T. Hagan, H. B. Demuth, and M. Beale, Neural Network Design. Boston, MA, USA: PWS Pub. Co., 1995.
25. J. S. Roger Jang, Jan. 10, 2013, Data Clustering and Pattern Recognition [Online]. Available: http://www.cs.nthu.edu.tw/~jang
26. H. Nomura, I. Hayashi, and N. Wakami, "A learning method of fuzzy inference rules by descent method," in Proc. 1992 IEEE Int. Conf. Fuzzy Syst., pp. 203-210.
27. S. I. Alex Pandian, G. Josemin Bala, and J. Anitha, "A pattern based PSO approach for block matching in motion estimation," Eng. Appl. Artif. Intell., to be published.
28. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. 1995 IEEE Int. Conf. Neural Netw., pp. 1942-1948.
29. M. E. H. Pedersen and A. J. Chipperfield, "Simplifying particle swarm optimization," Appl. Soft. Comput., vol. 10, no. 2, pp. 618-628, Mar. 2010.
30. M. S. Tsai, Y.H. Lin, and S. T. Chang, "Decomposing power consumption on household appliances using non-intrusive load monitoring integrated with a home energy management system," in Proc. 2013 17th Int. Conf. Intell. Syst. Appl. Power Systems (ISAP), pp. 78-83.