Influence of Sub-Daily Variation on Multi-Fractal Detrended Fluctuation Analysis of Wind Speed Time Series

• Published in: PloS one Vol. 11; no. 1; p. e0146284
• Main Authors: Wang, Xianxun, Mei, Yadong, Li, Weinan, Kong, Yanjun, Cong, Xiangyu
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 07.01.2016; Public Library of Science (PLoS)
• Subjects: Analysis; Collaboration; Correlation analysis; Daily variations; Declination; Electric Power Supplies; Engineering; Exponents; Fractal analysis; Fractals; Humans; Laboratories; Lower bounds; Methods; Models, Statistical; Physics; Power Plants; Renewable Energy; Scaling; Statistical mechanics; Temporal variations; Time series; Trends; Variation; Variations; Wavelet transforms; Wind; Wind speed; Wind velocity; China

Using multi-fractal detrended fluctuation analysis (MF-DFA), the scaling features of wind speed time series (WSTS) could be explored. In this paper, we discuss the influence of sub-daily variation, which is a natural feature of wind, in MF-DFA of WSTS. First, the choice of the lower bound of the seg...