A stochastic Markov chain model for simulating wind speed time series at Tangiers, Morocco

H. Nfaoui, H. Essiarab and A.A.M. Sayigh

Renewable Energy, 2004, vol. 29, issue 8, 1407-1418

Abstract: Time series of then years of Hourly Average Wind Speed, HAWS, data from Tangiers station are analysed on a statistical basis by applying the Markovian process. The limiting behaviour of the Markov chain is then examined and compared to the histogram of observed wind speed. It was found that a 12×12 transition probability matrix was necessary to generate an acceptable synthetic time series. The manner in which the Markovian model can be used to generate wind speed time series are also described.

Date: 2004
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:29:y:2004:i:8:p:1407-1418

DOI: 10.1016/S0960-1481(03)00143-5

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