Chidean, Mihaela I.Caamaño, Antonio JRamiro-Bargueño, JulioCasanova-Mateo, CarlosSalcedo-Sanz, Sancho2024-11-192024-11-192018-01Chidean, M. I., Caamaño, A. J., Ramiro-Bargueño, J., Casanova-Mateo, C., & Salcedo-Sanz, S. (2018). Spatio-temporal analysis of wind resource in the Iberian Peninsula with data-coupled clustering. Renewable and Sustainable Energy Reviews, 81, 2684-2694.1364-0321 (print)1879-0690 (online)https://hdl.handle.net/10115/41788In this paper a spatio-temporal analysis of wind power resource in the Iberian Peninsula is presented. The study uses the Second-Order Data-Coupled Clustering (SODCC) algorithm over reanalysis data in the for the period 1979 – 2014. Several characteristics of the method are detailed, such as the data-coupled clustering approach of SODCC, that ensures the non-singularity of the signal subspace within each cluster. The performance of the proposed approach and specific results obtained have been discussed in a case study in the Iberian Peninsula. In these results it is possible to identify different spatio-temporal patterns of the wind data statistics depending on the initialization year. Moreover, this work also shows that there is a close relationship between these spatio-temporal patterns with the wind energy production of the area under study, so the proposed analysis can be extended to wind farms efficiency production at the time scales considered.engAttribution-NonCommercial-NoDerivs 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/article10.1016/j.rser.2017.06.075info:eu-repo/semantics/embargoedAccess