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Carro Calvo, L. ; Salcedo Sanz, S. ; Kirchner Bossi, N. ; Portilla Figueras, A. ; Prieto, L. ; García Herrera, Ricardo ; Hernández Martín, E. | Pergamon-Elsevier Ltd | 2011-03In this paper we present an evolutionary approach for the problem of discovering pressure patterns under a quality measure related to wind speed and direction. This clustering problem is specially interesting for companies involving in the manag[...]texto impreso
Kirchner Bossi, N. ; Prieto, L. ; García Herrera, Ricardo ; Carro Calvo, L. ; Salcedo Sanz, S. | Elsevier Science BV | 2013-05A wind clustering methodology capable of dynamically characterizing and long-term reconstructing daily surface wind series is introduced and tested for six meteorological towers at different wind farms in Spain, for the period 1871–2009. On this[...]texto impreso
Salcedo Sanz, S. ; Portilla Figueras, J.A. ; Ortiz Garcíaq, E.G. ; Pérez Bellido, A.M. ; García Herrera, Ricardo ; Elorrieta, J.I. | Elsevier Science BV | 2009-11-15This paper discusses the performance of Radial Basis Function networks (RBF) in a problem of spatial regression of pollutants in Madrid. Specifically, the spatial regression of NO_(x) and O_(3) is considered, in such a way that, starting from a [...]texto impreso
Salcedo Sanz, S. ; García Herrera, R. ; Aybar Ruíz, A. ; Camacho Gómez, C. ; Alexandre, E. | Elsevier Science BV | 2018-10-15In this paper we deal with a problem of representative measuring points selection for long-term wind power analysis. It has direct applications such as wind farm prospective location or long-term power generation prediction in wind-based energy [...]
