%0 Journal Article %A Valero Verdú, Sergio %A Gabaldón Marín, Antonio %A Encinas Redondo, Nuria %A Ortiz García, Mario %A García Franco, Francisco J. %A Senabre Blanes, Carolina %A Cárcel, Juan Antonio %A Molina García, Ángel %T Development of new tools to promote a more effective consumer participation in short-term electricity markets %D 2006 %U http://hdl.handle.net/10317/1144 %X This paper summarizes the research work performed to show the capability of a combination of tools based on Self-Organizing Maps (SOM) and Physically Based Load Models (PBLM) to classify and extract pat-terns from distributor, aggregator and customer electrical demand databases (the objective known as data mining). This approach basically uses low cost information avail-able for almost all supply side agents: historic load curves of several kinds of customers. The first objective is to find a correlation between demand and the evolution of energy prices in short-term energy markets. A SOM was trained that should allow to select the most suitable customer clusters whose demand modification would benefit cus-tomer and supply-side agents through, for example, energy efficiency, distributed generation or demand response. After a previous evaluation through PBLM of different possible strategies to reduce demand during consumption peaks, a SOM was trained to detect opportunities among users with high reduction capabilities during periods when day-ahead prices are lower than shorter-term prices. The results obtained clearly show the suitability of SOM ap-proach to find easily coherent clusters between electrical users with high demand or available response capacity, and therefore a possible way to promote customer partici-pation in electrical energy markets is opened. %K Ingeniería Eléctrica %K Mercados de energía eléctrica %K Patrón de demanda %K Segmentación de clientes %K Respuesta de demanda %K Modelado de carga %K Funcionamiento del sistema de alimentación %K Electrical energy markets %K Demand pattern %K Customer segmentation %K Demand Response %K Load modeling %K Power system operation %K Self organizing maps %K Auto organización de mapas %~ GOEDOC, SUB GOETTINGEN