Description

This pull request introduces a check for missing annual consumption data in the loads dataframe. This check is necessary because the ding0 network no longer provides the annual demand, which can lead to issues in subsequent processes.

Fixes # (issue)

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)

Checklist:

• New and adjusted code is formatted using the pre-commit hooks
• New and adjusted code includes type hinting now
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• The Read the Docs documentation is compiling correctly
• If new packages are needed, I added them the setup.py, and if needed the rtd_requirements.txt, the eDisGo_env.yml and the eDisGo_env_dev.yml.
• I have added new features to the corresponding whatsnew file

Detailed Changes

1. Added Check for Missing Annual Consumption Data:
   • Implemented a check to raise an AttributeError if the annual consumption data is missing in the loads dataframe, ensuring data completeness and preventing downstream errors.

   if not all(loads_df.annual_consumption.notnull()):
       raise AttributeError(
           "The annual consumption of some loads is missing. Please provide "
       )

These changes ensure data validation processes function correctly, enhancing the stability and reliability of the code.