Characterising the fractal dimension of wind speed time series under different terrain conditions

B Yan, PW Chan, QS Li, YC He, ZR Shu - Journal of Wind Engineering and …, 2020 - Elsevier
Understanding the persistence in time series is of crucial importance relating to the reliable
forecast of wind speed. It has been widely acknowledged that fractal analysis is a useful tool
to evaluate the persistence in wind speed time series using the fractal dimension (D) as a
quantitative indicator. This paper aims to unveil the persistent characteristics of wind speed
time series recorded under various terrain conditions based on 6-year continuous
anemometric data. Fractal dimension analysis is carried out using box-counting method. The …
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