Literature DB >> 29604641

Long-range fluctuations and multifractality in connectivity density time series of a wind speed monitoring network.

Mohamed Laib1, Luciano Telesca2, Mikhail Kanevski1.   

Abstract

This paper studies the daily connectivity time series of a wind speed-monitoring network using multifractal detrended fluctuation analysis. It investigates the long-range fluctuation and multifractality in the residuals of the connectivity time series. Our findings reveal that the daily connectivity of the correlation-based network is persistent for any correlation threshold. Further, the multifractality degree is higher for larger absolute values of the correlation threshold.

Year:  2018        PMID: 29604641     DOI: 10.1063/1.5022737

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  1 in total

1.  ARIMA Model and Few-Shot Learning for Vehicle Speed Time Series Analysis and Prediction.

Authors:  Yingzi Wang; Ce Yu; Jue Hou; Sisi Chu; Yongjia Zhang; Yue Zhu
Journal:  Comput Intell Neurosci       Date:  2022-01-19
  1 in total

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