TSA with Open Power System Data

In this section, we are going to use Open Power System Data to understand TSA. We'll look at the time series data structures, time-based indexing, and several ways to visualize time series data.

We will start by importing the dataset. Look at the code snippet given here:

# load time series dataset
df_power = pd.read_csv("https://raw.githubusercontent.com/jenfly/opsd/master/opsd_germany_daily.csv")
df_power.columns

The output of the preceding code is given here:

Index(['Consumption', 'Wind', 'Solar', 'Wind+Solar'], dtype='object')

The columns of the dataframe are described here:

• Date: The date is in the format yyyy-mm-dd.
• Consumption: This indicates electricity consumption in GWh.
• Solar: This indicates solar power production in GWh.
• Wind+Solar: This represents the sum of solar and...