MCMC simulation of wind speed time series (CROSBI ID 586314)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Goić, Ranko ; Krstulović Opara, Jakov ; Jakus, Damir
engleski
MCMC simulation of wind speed time series
Power system design issues require stochastic simulation methods in order to derivate synthetic time series for the stochastic source modelling. In this paper, essential aspects about the use Markov chain Monte Carlo (MCMC) method for wind speed activity simulation, are analyzed. Emphasis is given to simulation of multiple, spatially correlated wind speed time series. The modified MCMC simulation method is introduced, aimed to capture the stochastic dependency between the series, in conjunction with individual persistence.
Monte Carlo simulation; Markov chain; time series; stochastic dependency
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Podaci o prilogu
218-222.
2010.
objavljeno
Podaci o matičnoj publikaciji
6th PhD Seminar on Wind Energy in Europe
European Academy of wind Energy (EAWE), Norwegian University of Science and Technology (NTNU)
Trondheim:
Podaci o skupu
6th PhD Seminar on Wind Energy in Europe
poster
30.09.2010-01.10.2010
Trondheim, Norveška