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Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy

Hernandez, Luis; Baladron, Carlos; Aguiar, Javier M.; Carro, Belen; Sanchez-Esguevillas, Antonio; Lloret, Jaime (Elsevier, 2014-10-01)

The adaptation of energy production to demand has been traditionally very important for utilities in order to optimize resource consumption. This is especially true also in microgrids where many intelligent elements have ...
Geometrical codification for clustering mixed categorical and numerical databases

Barceló Rico, Fátima; Diez, José-Luís (SPRINGER, 2012)

[EN] This paper presents an alternative to cluster mixed databases. The main idea is to propose a general method to cluster mixed data sets, which is not very complex and still can reach similar levels of performance of ...
Using finite mixture models in thermal-hydraulics system code uncertainty analysis

Carlos Alberola, Sofía; Sánchez Galdón, Ana Isabel; Ginestar Peiro, Damián; Martorell Alsina, Sebastián Salvador (Elsevier, 2013-09)

Nuclear Power Plant safety analysis is mainly based on the use of best estimate (BE) codes that predict the plant behavior under normal or accidental conditions. As the BE codes introduce uncertainties due to uncertainty ...

Mostrando ítems 1-3 de 3