DocumentCode :
3427546
Title :
Formation of load pattern clusters exploiting ant colony clustering principles
Author :
Chicco, Gianfranco ; Ionel, Octavian-Marcel ; Porumb, Radu
Author_Institution :
Energy Dept., Politec. di Torino, Turin, Italy
fYear :
2013
fDate :
1-4 July 2013
Firstpage :
1460
Lastpage :
1467
Abstract :
Electrical load pattern clustering provides useful information on how to partition the customers on the basis of the shape of their actual consumption. The results of the clustering procedure are then used to group the customers into classes by identifying a suitable set of attributes describing each class in a non-overlapping way. Starting from an initial set of centroids, it is possible to construct a clustering algorithm to upgrade the clustering results by refining the initial centroids. The Electrical Pattern Ant Colony Clustering (EPACC) method recently introduced by the authors, based on ant colony clustering principles, has been shown to outperform the classical k-means for electrical load pattern clustering based on an initial centroid model. This paper illustrates the genesis of the EPACC algorithm by providing additional information on how the method parameters have been chosen and set up. Examples are taken from a case study application with actual load patterns.
Keywords :
ant colony optimisation; load distribution; pattern clustering; EPACC algorithm; ant colony clustering principles; centroid model; classical k-means; clustering algorithm; electrical load pattern clustering; electrical pattern ant colony clustering; load pattern clusters; Clustering algorithms; Load modeling; Loading; Pattern clustering; Reactive power; Shape; ant colony; centroid model; clustering; customer class; load patterns; validity indicators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
EUROCON, 2013 IEEE
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-2230-0
Type :
conf
DOI :
10.1109/EUROCON.2013.6625170
Filename :
6625170
Link To Document :
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