Wind Farm power production of 339 wind farms in Australia, minutely data.
From the website:
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This dataset contains very long minutely time series representing the wind power production of 339 wind farms in Australia. It was downloaded from the Australian Energy Market Operator (AEMO) online platform.
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There are 5 columns:
id_series: The identifier of a time series.
state: The category (state) of the time series.
value: The value of the time series at 'time_step'.
time_step: The time step on the time series.
date: The reconstructed date of the time series in the format %Y-%m-%d %H:%M:$S.
Preprocessing:
1 - Renamed columns 'series_name' and 'series_value' to 'id_series' and 'value'.
2 - Exploded the 'value' column.
3 - Created 'time_step' column from the exploded data.
4 - Created 'date' column from 'starting_date' and 'time_step'.
5 - Defined 'id_series' as 'category', casted 'value' to float and 'date' to str.
There are still missing values!