  The appropriate weather prediction is a challenging task and it can be
feasible with proper wind speed fluctuation analysis. In this current paper
daubechies-4 wavelet is used to analyze the winter wind speed fluctuations due
to lesser agitated wind data samples of winter. In summer abrupt changes in
wind speed occurs which creates difficulty for wavelets to keep proper track of
wind speed fluctuations. So, in that case the concept of the S-transform is
introduced.
