TY  - JOUR
AU  - Kirchner Bossi, N.
AU  - Prieto, L.
AU  - García Herrera, Ricardo Francisco
AU  - Carro Calvo, L.
AU  - Salcedo Sanz, S.
PY  - 2013
DO  - 10.1016/j.apenergy.2012.11.072
SN  - 0306-2619
UR  - https://hdl.handle.net/20.500.14352/34232
T2  - Applied energy
AB  - A 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 basis...
LA  - eng
M2  - 30
PB  - Elsevier Science BV
KW  - Circulation weather types
KW  - Cluster-analysis
KW  - Neural-networks
KW  - Evolutionary algorithms
KW  - Classification scheme
KW  - Southern California
KW  - Reanalysis project
KW  - Speed prediction
KW  - Daily rainfall
KW  - Patterns
TI  - Multi-decadal variability in a centennial reconstruction of daily wind
TY  - journal article
VL  - 105
ER  -