Application of clustering algorithms and self organising maps to classify electricity customers

作者: G. Chicco , R. Napoli , F. Piglione

DOI: 10.1109/PTC.2003.1304160

关键词: Artificial neural networkData miningMachine learningFuzzy logicHierarchical clusteringService providerCondition monitoringCluster analysisSet (abstract data type)Artificial intelligenceComputer scienceElectronic mail

摘要: … obtained by using various unsupervised clustering algorithms (modified follow-theleader, k-means, fuzzy k-means and two types of hierarchical clustering) and the Self Organising Map …

参考文章(18)
Federico Piglione, Gianfranco Chicco, M. Scutariu, P. Postolache, Roberto Napoli, C. Toader, A Review of Concepts and Techniques for Emergent Customer Categorisation Telmark Discussion Forum. pp. 51- 58 ,(2002)
Federico Piglione, Gianfranco Chicco, M. Scutariu, P. Postolache, Roberto Napoli, C. Toader, Options to classify electricity customers Proc. MedPower 2002. ,(2002)
Julius T. Tou, Rafael C. Gonzalez, Pattern recognition principles ,(1974)
R. Lamedica, L. Santolamazza, G. Fracassi, G. Martinelli, A. Prudenzi, A novel methodology based on clustering techniques for automatic processing of MV feeder daily load patterns power engineering society summer meeting. ,vol. 1, pp. 96- 101 ,(2000) , 10.1109/PESS.2000.867418
A. K. Jain, M. N. Murty, P. J. Flynn, Data clustering: a review ACM Computing Surveys. ,vol. 31, pp. 264- 323 ,(1999) , 10.1145/331499.331504
J. Nazarko, Z.A. Styczynski, Application of statistical and neural approaches to the daily load profiles modelling in power distribution systems 1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333). ,vol. 1, pp. 320- 325 ,(1999) , 10.1109/TDC.1999.755372
C.S Chen, M.S Kang, J.C Hwang, C.W Huang, Synthesis of power system load profiles by class load study International Journal of Electrical Power & Energy Systems. ,vol. 22, pp. 325- 330 ,(2000) , 10.1016/S0142-0615(99)00046-0
Joe H. Ward, Hierarchical Grouping to Optimize an Objective Function Journal of the American Statistical Association. ,vol. 58, pp. 236- 244 ,(1963) , 10.1080/01621459.1963.10500845
David L. Davies, Donald W. Bouldin, A Cluster Separation Measure IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 1, pp. 224- 227 ,(1979) , 10.1109/TPAMI.1979.4766909