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MCMC simulation of wind speed time series (CROSBI ID 586314)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Goić, Ranko ; Krstulović Opara, Jakov ; Jakus, Damir MCMC simulation of wind speed time series // 6th PhD Seminar on Wind Energy in Europe / European Academy of wind Energy (EAWE), Norwegian University of Science and Technology (NTNU) (ur.). Trondheim, 2010. str. 218-222

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

Povezanost rada

Elektrotehnika

Poveznice