Customer classification and load profiling method for distribution systems

IEEE Transactions on Power Delivery

Volumn 26, Issue 3, 2011, Pages 1755-1763

  Mutanen, Antti ^a   Ruska, Maija ^b   Repo, Sami ^a   Järventausta, Pertti ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

Author keywords

Clustering; ISODATA; K means; load profiles; load research

Indexed keywords

CLUSTERING; ISODATA; K-MEANS; LOAD PROFILES; LOAD RESEARCH;

CUSTOMER SATISFACTION; RESEARCH;

SALES;

EID: 79959702672     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2011.2142198     Document Type: Article

References (18)

1. G. Chicco, R. Napoli, and F. Piglione, "Comparison among clustering techniques for electricity customer classification," IEEE Trans. Power Syst., vol. 21, no. 2, pp. 933-940, May 2006.
2. G. Chicco, R. Napoli, and F. Piglione, "Application of clustering al-gorithms and self organising maps to classify electricity customers," presented at the IEEE PowerTech Conf., Bologna, Italy, Jun. 2003.
3. A. Seppälä, "Load research and load estimation in electricity distri-bution," Ph.D. dissertation, Helsinki Univ. Technol., Espoo, Finland, 1996.
4. G. J. Tsekouras, N. D. Hatziargyriou, and E. N. Dialynas, "Two-stage pattern recognition of load curves for classification of electricity cus-tomers," IEEE Trans. Power Syst., vol. 22, no. 3, pp. 1120-1128, Aug. 2007. (Pubitemid 47278370)
5. Z. Zakaria, M. N. Othman, and M. H. Sohod, "Consumer load profiling using fuzzy clustering and statistical approach," in Proc. 4th Student Conf. Res. Develop., Selangor, Malaysia, 2006, pp. 270-274.
6. I. H. Yu, J. K. Lee, J. M. Ko, and S. I. Kim, "A method for classifica-tion of electricity demands using load profile data," in Proc. 4th Annu. ACISInt. Conf. Comput. Inf. Sci., Jeju Island, South Korea, 2005, pp. 164-168. (Pubitemid 44160224)
7. B. D. Pitt and D. S. Kirschen, "Application of data mining techniques to load profiling," in Proc. 21st IEEE Int. Conf. Power Ind. Comput. Appl., SantaClara, CA, 1999, pp. 131-136.
8. S. Ramos and Z. Vale, "Data mining techniques application in power distribution utilities," presented at the IEEE/Power Energy Soc. Transm. Distrib. Conf. Expo., Chicago, IL, 2008.
9. S. V. Verdú, M. O. García, F. J. G. Franco, N. Encinas, A. G. Marín, A. Molina, and E. G. Lázaro, "Characterization and identification of electrical customers through the use of self-organizing maps and daily load parameters," in Proc. IEEE Power Eng. Soc. Power System Conf. Expo., Atlanta, GA, 2004, pp. 899-906.
10. K. L. Lo and Z. Zakaria, "Electricity consumer classification using ar-tificial intelligence," in Proc. 39thInt. Univ. Power Eng. Conf., Bristol, U.K., 2004, pp. 443-447. (Pubitemid 43205928)
11. D. Gerbec, S. Gasperic, I. Smon, and F. Gubina, "Determining the load profiles of consumers based on fuzzy logic and probability neural net-works," Proc. Inst. Elect. Eng., Gen., Transm. Distrib., vol. 151, pp. 395-400, May 2004.
12. N. Mahmoudi-Kohan, M. P. Moghaddam, and S. M. Bidaki, "Evalu-ating performance of WFA K-means and modified follow the leader methods for clustering load curves," presented at the IEEE/Power En-ergy Soc. Power Syst. Conf. Expo., Seattle, WA, 2009.
13. A. Mutanen, S. Repo, and P. Järventausta, "AMR in distribution net-work state estimation," presented at the 8th Nordic Electricity Distri-bution and Asset Management Conf., Bergen, Norway, Sep. 8-9, 2008.
14. E. Lakervi and E. J. Holmes, Electricity Distribution Network Design, 2nd ed. London, U.K.: Peregrinus Ltd., 1995, ch. 11.3.
15. M. Meldorf, Electrical Network Load Monitoring. Tallinn, Estonia: TUT Press, 2008.
16. G. H. Ball and D. J. Hall, "ISODATA: A novel method of data analysis and pattern classification," Stanford Res. Inst., Menlo Park, CA, Tech. Rep. NTIS-AD-699616, Apr. 1965.
17. C. W. Therrien, Decision Estimation and Classification: An Introduc-tion to Pattern Recognition and Related Topic. New York: Wiley, 1989.
18. J. B.MacQueen, "Somemethods forclassificationand Analysisofmul-tivariate observations," in Proc. 5th Symp. Math. Statist. Probability, Berkeley, CA, 1967, vol. 1, pp. 281-297.