Data File Upscaling Method

Units:	-
Default Value:	-1
Validation Rule:	In (-1,0,1,2)
Description:	Method used to upscale data e.g. from hourly to 5-minute resolution.

Data File Upscaling Method is the method used to upscale data e.g. from hourly to 1-minute resolution. The setting can take the following values:

Auto (value = -1): Integer-type values are upscaled using the "Step" method (see below), continuous values are upscaled using the "Interpolate" method.
Step (value = 0): Values step from one period to the next e.g. hourly values will apply to every 5-minute period in that hour and step at the hour boundaries. This method is suitable for properties such as Generator Commit or Units Out where a integer value is required.
Interpolate (value = 1): Values are linearly interpolated so that the actual period value occurs at the end of each period e.g. if the load in hour 1 is 100 and hour 2 is 200, then the 5-minute interpolation through hour 2 is 108.33, 116.67, 125, 133.33, 141.67, 150, 158.33, 166.67, 175, 183.33, 191.67, 200. This method is suitable for properties such as Generator Fixed Load.; Please note, this method can be used only with file formats, Periods in Column and Bands in columns layout with YEAR, MONTH, DAY, Period fields.
Boundary Interpolate (value = 2): Values are interpolated on the boundary between original periods e.g. if hourly input data are up-scaled to 10-minute then the interpolation occurs in the last and first 10-minutes of each hour. Note that this method is not available for Interleave properties. In that case PLEXOS will switch to the Interpolate instead.; Please note, this method can be used only with file formats, Periods in Column and Bands in columns layout with YEAR, MONTH, DAY, Period fields.

Example

The following are hourly input data:

           
    Year    Month    Day    1    2    3    4    5    6    7    8    9    10    11    12    13    14    15    16    17    18    19    20    21    22    23    24
    2008    12    31    100    100    100    100    100    100    100    100    100    100    100    100    200    300    200    100    100    100    100    100    100    100    100    100
    2009    1    1    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    200
    2009    1    2    100    100    100    100    300    300    300    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100
    2009    1    3    200    100    0    100    200    100    300    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100    100

These data can be up-scaled to 10-minute. The following show the outcomes of the three approaches:

Datetime	"Auto"	"Step"	"Interpolate"	"Boundary Interpolate"
1/01/2009 22:40:00	100	100	100	100
1/01/2009 22:50:00	100	100	100	133.3333333
1/01/2009 23:00:00	116.6666667	200	116.6666667	166.6666667
1/01/2009 23:10:00	133.3333333	200	133.3333333	200
1/01/2009 23:20:00	150	200	150	200
1/01/2009 23:30:00	166.6666667	200	166.6666667	200
1/01/2009 23:40:00	183.3333333	200	183.3333333	200
1/01/2009 23:50:00	200	200	200	166.6666667
2/01/2009	183.3333333	100	183.3333333	133.3333333
2/01/2009 0:10:00	166.6666667	100	166.6666667	100
2/01/2009 0:20:00	150	100	150	100
2/01/2009 0:30:00	133.3333333	100	133.3333333	100
2/01/2009 0:40:00	116.6666667	100	116.6666667	100
2/01/2009 0:50:00	100	100	100	100