Hi.

Could you clarify me if when importing a time load curve that respects the order of the hours in order to represent the seasonality, LEAP considers that all years have 8760 hours and that starts on a Monday? or captures depending on the year loaded which day of the week fell on January 01? is that I need to configure the times slices for the 24 hours of each of the 7 days of the week of each month (attached image).

Thank you very much for your help.

Regards.

Hi Estela,

When you import data for a yearly shape, there's a field that asks you which value (e.g. number of row in your spreadsheet) corresponds to the 1st period of the 1st Monday in the year. That way, LEAP will know how to allocate these values to the corresponding time slices (e.g. weekend vs weekdays, or specific days of the week) in each year throughout your modeling period. So for example, if you're creating a yearly shape based on observed hourly data (i.e. a spreadsheet with 8760 rows of data) for the year 2020, which started on a Wednesday, the first hour of the first Monday in the year (6-Jan) was row 121 (5*24 + 1). By specifying that in LEAP when you import the data, LEAP will know how to assign the different curves for each day of the week in the subsequent years, regardless of the day of the week in which they start.

Hope that helps!

Silvia