S. Valero, M. Ortiz, C. Senabre, C. Álvarez, J. García Franco, N. Encinas, A. Gabaldón, J.A. Fuentes
Demand Management, Self-organizing maps, electricity markets, electrical customer segmentation, load patterns.
The objective of this paper is to show the capability of the Self-Organizing Maps (SOMs) to organize, to filter, to classify and to extract patterns from distributor, commercializer, aggregator or customer electrical demand databases -objective known as data mining-. This approach basically uses -to reach the above mentioned objectives- the historic load demand curves of each user. In our case, and for simplicity, we will study two typical medium users: an industry and a university located both in Spain. The results clearly show the suitability of SOM approach to improve data management and to find easily coherent clusters between electrical users.
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