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Modelling the Wind Speed Oscillation Dynamics

  • K. Asokan
  • K. Satheesh Kumar
Part of the Communications in Computer and Information Science book series (CCIS, volume 305)

Abstract

We present a detailed nonlinear time series analysis of the daily mean wind speed data measured at COCHIN/WILLINGDON (Latitude: +9.950, Longitude: +76.267 degrees, Elevation: 3 metres) from 2000 to 2010 using tools of non-linear dynamics. The results of the analysis strongly suggest that the underlying dynamics is deterministic, low-dimensional and chaotic indicating the possibility of accurate short term prediction. The chaotic behaviour of wind dynamics explains the presence of periodicities amidst random like fluctuations found in the wind speed data, which forced many researchers to model wind dynamics by stochastic models previously. While most of the chaotic systems reported in the literature are either confined to laboratories or theoretical models, this is another natural system showing chaotic behaviour.

Keywords

Wind Speed Mutual Information Lyapunov Exponent Total Electron Content Chaotic Behaviour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • K. Asokan
    • 1
  • K. Satheesh Kumar
    • 2
  1. 1.Department of MathematicsCollege of EngineeringThiruvananthapuramIndia
  2. 2.Department of Futures StudiesUniversity of KeralaThiruvananthapuramIndia

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