Dear all,

I have one year's worth of hourly data, starting from 1st April 2010 and
ending on 31st March 2011. I would like to perform time series analysis on
it. Not having used "ts" before, I am having trouble setting it up to
correctly represent the data. I have R reading in the time series via:
*wind_ts <- ts(wind.MH,start=1,frequency=1)*

where "wind.MH" is a 8760x1 matrix object. I then tried to decompose the
time series with the following error:
*wind_ts_components <- decompose(wind_ts)*
*Error in decompose(wind_ts) : time series has no or less than 2 periods*

The dataset is the hourly wind generation for Maharashtra, India and has
some seasonality associated with the Indian monsoon. Ultimately, this is
what I would like to identify. I imagine that correctly setting the "start"
and "frequency" parameters is necessary to be able to parse the dataset
 into months and seasons.

I would greatly appreciate help on how to handle this and any leads on time
series analysis for hourly data in general.

Regards,
-- 
advait godbole
analyst, prayas energy group
pune, india

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