  Modelling the intermittency of wind speed has got significant relevance on
many fields, including wind power generation and distribution. Most of the
available modelling techniques assume the temporal fluctuations in the wind is
stochastic in nature and the underlying dynamics is best described by
statistical methods or the probabilistic distribution. The advent of chaos
theory have changed the perception about irregular fluctuations of dynamic
systems and it has demonstrated that random-like fluctuations can also arise
from deterministic chaotic systems. In this paper, we have analysed the
deterministic nature of apparent random fluctuations seen in the daily average
wind speed with the help of nonlinear time series analysis tools utilising wind
speed data measured at nine typical locations over the Indian subcontinent from
2005 to 2015. The values of significant chaotic quantifiers obtained from the
analysis clearly show the deterministic, low-dimensional and chaotic nature of
wind speed dynamics in all these locations.

Atmospheric and Oceanic Physics;Chaotic Dynamics;Data Analysis, Statistics and Probability