Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers

被引:112
作者
Benitez, Ignacio [1 ]
Quijano, Alfredo [1 ]
Diez, Jose-Luis [2 ]
Delgado, Ignacio [1 ]
机构
[1] Inst Energy Technol, Paterna 46980, Spain
[2] Univ Politecn Valencia, Dept Syst Engn & Control, Valencia 46022, Spain
关键词
Dynamic clustering; Data mining; Demand side management; Load profiles; PATTERN-RECOGNITION; CLASSIFICATION; METHODOLOGY; FRAMEWORK;
D O I
10.1016/j.ijepes.2013.09.022
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
The following article describes the work of dynamic segmentation of daily load profiles throughout years 2008 and 2009, of a representative sample of Spanish residential customers. The technique applied is classification of the energy consumption time series of load profiles by means of dynamic clustering algorithms. The techniques used and analysis performed prove adequate as a fast tool to classify clients according to their energy consumption patterns, as well as to evaluate their overall energy consumption trends at a glance. The segmentation of the energy consumption load profiles is performed, and the results are analyzed and discussed. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:437 / 448
页数:12
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