The researchers studied wind speed patterns using the Hurst exponent to understand their self-similarity and long-range dependence. They found that wind speed time series exhibit strong self-similarity and long-range positive dependence. The detrended fluctuation analysis method revealed a power-law feature in the data. Overall, wind speed fluctuations follow a "1/f fluctuation" pattern, providing insights for future research on fractal chaos and short-term wind speed prediction.