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how to remove seasonality from a dataset

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vedesh Mohit
vedesh Mohit on 11 Mar 2018
Commented: Ashfaq Ahmed on 28 Apr 2023
I have a dataset which consist of hourly wind speeds for fifteen years. When I used the autocorrelation on the wind speeds, it is clear that it contains a upward and downward trend as well as seasonality at every 24 lag. I have to make the dataset stationary by removing the trends and seasonality, I am new to matlab so I am not quite sure how to about doing this. Any help?
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Ashfaq Ahmed
Ashfaq Ahmed on 28 Apr 2023
@vedesh Mohit Did you find an answer to this question? I have the same problem

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Answers (1)

Image Analyst
Image Analyst on 19 Mar 2018
I'd break it out by day of the year so that you'd have 365 rows (one for each day of the year), and 15 columns (one column for each year). Then I'd average across columns to get the mean. Then I'd fit that to a model, such as a cosine. Then subtract the model from each data point to get the detrended value.

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