Feature extraction of non-intrusive load-monitoring system using genetic algorithm in smart meters

Proceedings - 2011 8th IEEE International Conference on e-Business Engineering, ICEBE 2011

Volumn , Issue , 2011, Pages 299-304

  Chang, Hsueh Hsien ^a   Chien, Po Ching ^b   Lin, Lung Shu ^b   Chen, Nanming ^b  

^a Jin Wen University of Science and Technology   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

artificial neural network; feature extraction; genetic algorithm; non intrusive load monitoring techniques; smart meters

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; COMPUTATIONAL TIME; ELECTROMAGNETIC TRANSIENTS PROGRAM SIMULATIONS; FEATURE EXTRACTION METHODS; LOAD DEMAND; LOAD IDENTIFICATION; MULTIPLE OPERATIONS; NON-INTRUSIVE; POWER SIGNATURES; RECOGNITION ACCURACY; SMART METERS; TRAINING ALGORITHMS;

BACKPROPAGATION; COMPUTATIONAL EFFICIENCY; ELECTRIC SURGES; ELECTRONIC COMMERCE; FACE RECOGNITION; FEATURE EXTRACTION; GENETIC ALGORITHMS; MONITORING; TRANSIENTS;

NEURAL NETWORKS;

EID: 84855821021     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEBE.2011.48     Document Type: Conference Paper

References (12)

1. Hart G. W., Nonintrusive appliance load monitoring, Proc. IEEE Conf., 1992, pp. 1870-1891.
2. Roos J. G., Lane I. E., Lane E. C., Hanche G. P., Using Neural networks for non-intrusive monitoring of industrial electrical loads, Proc. IEEE Instrumentation and Measurement Technology Conf., 1994, pp. 1115-1118.
3. Leeb S. B., A conjoint pattern recognition approach to nonintrusive load monitoring, PhD thesis, MIT, 1993.
4. H. H. Chang, "Genetic Algorithms and Non-intrusive Energy Management System Based Economic Dispatch for Cogeneration Units," Energy, 36 (1), pp. 181-190, 2011.
5. U. A. Khan, S. B. Leeb, and M. C. Lee, "A multiprocessor for transient event detection," IEEE Trans. Power Delivery, vol. 12, No. 1, pp. 51-60, January 1997.
6. L. K. Norford, S. B. Leeb, "Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithm," Energy and Buildings, 24, pp. 51-64, 1996.
7. S. B. Leeb, S. R. Shaw, and J. L. Kirtly, Jr., "Transient event detection in spectral envelop estimates for nonintrusive load monitoring," IEEE Trans. Power Delivery, vol. 10, No. 3, pp. 1200-10, July 1995.
8. H. H. Chang, C. L. Lin, H. T. Yang, " Load Recognition for Different Loads with the Same Real Power and Reactive Power in a Non-intrusive Load-morning System," Computer Supported Cooperative Work in Design, 12th International Conference on CSCWD 2008, pp. 1122-1127, 16-18 April 2008.
9. H. T. Yang, H. H. Chang, C. L. Lin," Design a Neural Network for Features Selection in Non-intrusive Monitoring of Industrial Electrical Loads," Computer Supported Cooperative Work in Design, 11th International Conference on CSCWD 2007, pp. 1022-1027, 26-28 April 2007.
10. M. Baranski and J. Voss, "Genetic algorithm for pattern detection in NIALM systems," IEEE 2004 International conference on System, Man and Cybernetics, pp. 3462-3468, 2004.
11. Lippmann RP. Pattern classification using neural networks. IEEE Commun. Mag. pp. 47-64, 1989.
12. Hong YY, Chen BY. Locating switched capacitor using wavelet transform and hybrid principal component analysis network. IEEE Trans Power Deliv., 22(2), pp. 1145-52, 2007.