Searched for: department:"Electrical%5C%2BSustainable%5C%2BEnergy"
(1 - 2 of 2)
document
Papaefthymiou, G. (author), Kurowicka, D. (author)
The increasing penetration of renewable generation in power systems necessitates the modeling of this stochastic system infeed in operation and planning studies. The system analysis leads to multivariate uncertainty analysis problems, involving non-Normal correlated random variables. In this context, the modeling of stochastic dependence is...
journal article 2009
document
Papaefthymiou, G. (author), Klöckl, B. (author)
This paper contributes a Markov chain Monte Carlo (MCMC) method for the direct generation of synthetic time series of wind power output. It is shown that obtaining a stochastic model directly in the wind power domain leads to reduced number of states and to lower order of the Markov chain at equal power data resolution. The estimation quality of...
journal article 2008