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[EN] The electricity sector is currently undergoing a process of liberalization and separation of roles, which is being implemented under the regulatory auspices of each Member State of the European Union and, therefore, with different speeds, perspectives and objectives that must converge on a common horizon, where Europe will benefit from an interconnected energy market in which producers and consumers can participate in free competition. This process of liberalization and separation of roles involves two consequences or, viewed another way, entails a major consequence from which other immediate consequence, as a necessity, is derived. The main consequence is the increased complexity in the management and supervision of a system, the electrical, increasingly interconnected and participatory, with connection of distributed energy sources, much of them from renewable sources, at different voltage levels and with different generation capacity at any point in the network. From this situation the other consequence is derived, which is the need to communicate information between agents, reliably, safely and quickly, and that this information is analyzed in the most effective way possible, to form part of the processes of decision taking that improve the observability and controllability of a system which is increasing in complexity and number of agents involved. With the evolution of Information and Communication Technologies (ICT), and the investments both in improving existing measurement and communications infrastructure, and taking the measurement and actuation capacity to a greater number of points in medium and low voltage networks, the availability of data that informs of the state of the network is increasingly higher and more complete. All these systems are part of the so-called Smart Grids, or intelligent networks of the future, a future which is not so far. One such source of information comes from the energy consumption of customers, measured on a regular basis (every hour, half hour or quarter-hour) and ...

[EN] 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. ; The works developed in this document have been possible thanks to Iberdrola Distribucion Electrica S.A.U. and the development of the GAD project. The GAD or "Active Demand Management" (in Spanish) project was a project supported by the Spanish Government, and participated by 14 different companies and 14 research centers. It was sponsored by the CDTI (Technological Development Centre of the Ministry of Science and Innovation of Spain), and financed by the INGENIO 2010 program. ; Benítez Sánchez, IJ.; Quijano-Lopez, A.; Diez, J.; Delgado Espinos, I. (2014). Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers. International Journal of Electrical Power & Energy Systems. 55:437-448. https://doi.org/10.1016/j.ijepes.2013.09.022 ; S ; 437 ; 448 ; 55