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Periodic fluctuations in correlation-based connectivity density time series: Application to wind speed-monitoring network in Switzerland

Author

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  • Laib, Mohamed
  • Telesca, Luciano
  • Kanevski, Mikhail

Abstract

In this paper, we study the periodic fluctuations of connectivity density time series of a wind speed-monitoring network in Switzerland. By using the correlogram-based robust periodogram annual periodic oscillations were found in the correlation-based network. The intensity of such annual periodic oscillations is larger for lower correlation thresholds and smaller for higher. The annual periodicity in the connectivity density seems reasonably consistent with the seasonal meteo-climatic cycle.

Suggested Citation

  • Laib, Mohamed & Telesca, Luciano & Kanevski, Mikhail, 2018. "Periodic fluctuations in correlation-based connectivity density time series: Application to wind speed-monitoring network in Switzerland," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1555-1569.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:1555-1569
    DOI: 10.1016/j.physa.2017.11.081
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    Cited by:

    1. Santos, Fábio Sandro dos & Nascimento, Kerolly Kedma Felix do & Jale, Jader da Silva & Stosic, Tatijana & Marinho, Manoel H.N. & Ferreira, Tiago A.E., 2021. "Mixture distribution and multifractal analysis applied to wind speed in the Brazilian Northeast region," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

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