Multiparametric statistical and dynamical analysis of angular high-frequency wind speed time series

被引：5
作者：
Stosic, Tatijana [1 ]
Telesca, Luciano [2 ]
Stosic, Borko [1 ]
机构：
[1] Univ Fed Rural Pernambuco, Dept Estat & Informat, Rua Dom Manoel de Medeiros S-N, BR-52171900 Recife, PE, Brazil
[2] CNR, Inst Methodol Environm Anal Cda S Loja, I-85050 Tito, Italy
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2021年 / 566卷
关键词：
Wind speed; Persistence dynamics; Detrended fluctuation analysis; Multifractal detrended fluctuation analysis; Fisher-Shannon analysis; LONG-TERM CORRELATIONS; FISHER INFORMATION; DISTRIBUTIONS; COMPLEXITY; RECORDS;
D O I：
10.1016/j.physa.2020.125627
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
High frequency data from the city of Petrolina, Northeast Brazil, are used to find the wind speed projection series at different angles, which are then analyzed by using several statistical tools: detrended fluctuation analysis (DFA), multifractal detrended fluctuation analysis (MFDFA) and Fisher-Shannon analysis (FSA). It is found that alpha, the DFA scaling exponent, varies between 0.6 (indicating weak persistence) and unity (strong persistence), at different time frames and at different projection angles. At lower projection angles wind speed is characterized by higher heterogeneity, lower disorder, higher organization and relative dominance of small fluctuations. The statistical analysis of wind speed with varying the direction could contribute to enrich the knowledge of the dynamics of wind speed. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数：13
相关论文
共 56 条
  • [11] Effect of nonstationarities on detrended fluctuation analysis
    Chen, Z
    Ivanov, PC
    Hu, K
    Stanley, HE
    [J]. PHYSICAL REVIEW E, 2002, 65 (04): : 15
  • [12] Long-term correlations and cross-correlations in wind speed and solar radiation temporal series from Fernando de Noronha Island, Brazil
    dos Anjos, Priscilla Sales
    Alves da Silva, Antonio Samuel
    Stosic, Borko
    Stosic, Tatijana
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 424 : 90 - 96
  • [13] Diverse dynamical characteristics across the frequency spectrum of wind speed fluctuations
    Drisya, G. V.
    Asokan, K.
    Kumar, K. Satheesh
    [J]. RENEWABLE ENERGY, 2018, 119 : 540 - 550
  • [14] Detecting and interpreting distortions in hierarchical organization of complex time series
    Drozdz, Stanislaw
    Oswiecimka, Pawel
    [J]. PHYSICAL REVIEW E, 2015, 91 (03):
  • [15] Theory of statistical estimation.
    Fisher, RA
    [J]. PROCEEDINGS OF THE CAMBRIDGE PHILOSOPHICAL SOCIETY, 1925, 22 : 700 - 725
  • [16] FISHER INFORMATION, DISORDER, AND THE EQUILIBRIUM DISTRIBUTIONS OF PHYSICS
    FRIEDEN, BR
    [J]. PHYSICAL REVIEW A, 1990, 41 (08): : 4265 - 4276
  • [17] Guignard F., 2019, ARXIV19122452, V1912, P2452
  • [18] Investigating the time dynamics of wind speed in complex terrains by using the Fisher-Shannon method
    Guignard, Fabian
    Lovallo, Michele
    Laib, Mohamed
    Golay, Jean
    Kanevski, Mikhail
    Helbig, Nora
    Telesca, Luciano
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 523 : 611 - 621
  • [19] Identifying hidden common causes from bivariate time series: A method using recurrence plots
    Hirata, Yoshito
    Aihara, Kazuyuki
    [J]. PHYSICAL REVIEW E, 2010, 81 (01):
  • [20] Effect of trends on detrended fluctuation analysis
    Hu, K
    Ivanov, PC
    Chen, Z
    Carpena, P
    Stanley, HE
    [J]. PHYSICAL REVIEW E, 2001, 64 (01): : 19 - 011114
123456