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 Ã 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. Using the transition probability matrix developed
from the real wind data, the synthetic wind speed time series are
generated. The comparison between the real wind speed and the synthetic
one shows that the statistical characteristics of wind speed are
faithfully reproduced. The synthetic HAWS may be utilised as input
data for any wind energy system.
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