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When using (historical) datasets from different years, care must be taken to align them in terms of weekdays/weekend to ensure proper behavior. Also, the weekday/weekend energy accounting should be adjusted accordingly.
How to ensure this step is not skipped, leading to misalignment of data and results?
The text was updated successfully, but these errors were encountered:
The week/weekend day is now determined based on the p_year parameter of the EnergyModel. When using historical data, the data should, whenever possible, be from the same year. (especially market and weather data!) However, when using 'default' profiles, steps are needed to ensure week/weekend-day consistency for all years. Perhaps this is possible using the looping functionality of tablefunctions that store these default profiles.
When using (historical) datasets from different years, care must be taken to align them in terms of weekdays/weekend to ensure proper behavior. Also, the weekday/weekend energy accounting should be adjusted accordingly.
How to ensure this step is not skipped, leading to misalignment of data and results?
The text was updated successfully, but these errors were encountered: