Electricity load profile classification using fuzzy c-means method

Proceedings of the Universities Power Engineering Conference

Volumn , Issue , 2008, Pages

  Prahastono, Iswan ^a   King, David J ^a   Ozveren, C S ^a   Bradley, D ^a  

^a UNIVERSITY OF ABERTAY DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

C-MEANS; DATA SETS; DEGREE OF MEMBERSHIP; ELECTRICITY LOAD; FCM ALGORITHM; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS METHODS; INDONESIA; LOAD PROFILES; OBJECTIVE FUNCTIONS; OPTIMAL CLASSIFICATION; OPTIMAL NUMBER; SAMPLE DATA; VALIDITY INDEX;

FUZZY CLUSTERING; FUZZY RULES;

FUZZY SYSTEMS;

EID: 68949219552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UPEC.2008.4651527     Document Type: Conference Paper

References (5)

1. Prahastono, I., King, D., and Ozveren, C., S., A review of electricity load profila classification method, Accepted paper of UPEC Conference, Brighton, 2007.
2. Chicco, G. Napoli, R., Piglione, F., Application of clustering algorithms and self organising maps to classify electricity customers Power Tech Conference Proceedings, 2003 IEEE Bologna Volume 1, 23-26 June 2003, pp.7
3. Tai Wai Cheng, Dmitry B. Goldgof, Lawrence O. Hall, Fast Fuzzy clustering, ISAAC: 6th International Symposium on Algorithms and Computation, 1995.
4. Almeida, R., J., and Sousa, J., M., C., Comparison of fuzzy clustering algorithms for classification, International Sympposium on Evolving Fuzzy Systems , IEEE, September, 2006.
5. Chicco, G. Napoli, R., Postolache, P., Scutariu, M., and Toader, C., Customer characterisation options for improving the tariff order, IEEE Transaction on Power Systems, 2003, Volume 18, No.l, February 2003.