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