Title :
Possible use of evolving c-regression clustering for energy consumption profiles classification
Author :
Dejan Dov?an;Igor ?krjanc
Author_Institution :
Laboratory of Modelling, Simulation and Control, Faculty of Electrical Engineering, University of Ljubljana, Tr?a?ka 25, SI-1000, Slovenia
Abstract :
In this paper an idea for classification of energy consumption profiles using an evolving c-regression method is presented. Cluster prototypes (centers) are usually defined as a mean of data around the center. The cluster center is a vector of numerical values. The method presented in this paper uses Takagi-Sugeno fuzzy models as a cluster prototype. Beside the method description also preliminary results of energy consumption profiles classification are given.
Keywords :
"Clustering algorithms","Prototypes","Adaptation models","Data models","Energy consumption","Takagi-Sugeno model","Covariance matrices"
Conference_Titel :
Evolving and Adaptive Intelligent Systems (EAIS), 2015 IEEE International Conference on
DOI :
10.1109/EAIS.2015.7368792