A note on the multivariate Archimedean dependence structure in small wind generation sites
Article first published online: 20 MAY 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Volume 17, Issue 8, pages 1287–1295, August 2014
How to Cite
Díaz, G. (2014), A note on the multivariate Archimedean dependence structure in small wind generation sites. Wind Energ., 17: 1287–1295. doi: 10.1002/we.1633
- Issue published online: 14 JUL 2014
- Article first published online: 20 MAY 2013
- Manuscript Revised: 18 APR 2013
- Manuscript Accepted: 18 APR 2013
- Manuscript Received: 11 DEC 2012
- multivariate analysis;
- uncertainty analysis;
This paper discusses the conjecture that Archimedean copulas—mainly Gumbel copulas—provide better stochastic models than Gaussian copulas for multivariate analysis of small wind energy generation clusters (focused on the analysis of microgrid viability). The paper provides guidance on how to model the multivariate Gumbel copula, thus allowing to follow up some recently published results that show that the correlation structure in bivariate models (generator pairing) is best defined by bivariate Gumbel copulas rather than by their Gaussian counterpart. However, it is shown in this paper that the higher the dimension (the larger the number of microgrid generators) the more probably the Gaussian copulas outperform the Gumbel copulas. Copyright © 2013 John Wiley & Sons, Ltd.