Dynamic clustering of residential electricity consumption time series data based on Hausdorff distance

Electric Power Systems Research - Tập 140 - Trang 517-526 - 2016
Ignacio Benítez1, José-Luis Díez2, Alfredo Quijano1, Ignacio Delgado1
1Instituto Tecnológico de la Energía, Avda. Juan de la Cierva 24, 46980 Paterna, Spain
2Department of Systems Engineering and Control, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain

Tài liệu tham khảo

2015 EC, 2011 Han, 2006 2007 Liao, 2005, Clustering of time series data – a survey, Pattern Recognit., 38, 1857, 10.1016/j.patcog.2005.01.025 MacQueen, 1967, Some methods for classification and analysis of multivariate observations, 281 Bezdek, 1973 Izakian, 2013, Clustering spatiotemporal data: an augmented fuzzy c-means, IEEE Trans. Fuzzy Syst., 21, 855, 10.1109/TFUZZ.2012.2233479 Izakian, 2014, Agreement-based fuzzy c-means for clustering data with blocks of features, Neurocomputing, 127, 266, 10.1016/j.neucom.2013.08.006 Kennedy, 1995, Particle swarm optimization, 4, 1942 Benítez, 2014, Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers, Int. J. Electr. Power Energy Syst., 55, 437, 10.1016/j.ijepes.2013.09.022 Díez, 2003 Chicco, 2012, Overview and performance assessment of the clustering methods for electrical load pattern grouping, Energy, 42, 68, 10.1016/j.energy.2011.12.031 Halkidi, 2001, On clustering validation techniques, J. Intell. Inf. Syst., 17, 107, 10.1023/A:1012801612483 Davies, 1979, Cluster separation measure, IEEE Trans. Pattern Anal. Mach. Intell., 1, 95 Xie, 1991, A validity measure for fuzzy clustering, IEEE Trans. Pattern Anal. Mach. Intell., 13, 841, 10.1109/34.85677 Hausdorff, 1914 Benítez Sánchez, 2009, Clients segmentation according to their domestic energy consumption by the use of self-organizing maps, 1