Synthetic profiles are used when no interval data is available to classify customer consumption patterns. They contain generated values based on predefined periods and day/annual profiles. For the demo, a pre-created synthetic profile will be allocated to a load profile in an installation along with a profile allocation role. The initial usage factor will be calculated. Billing runs will then be executed to see if the usage factor gets modified after each cycle, since dynamic modification factors prevent large jumps between seasons and maintain normal profile shapes. Questions are welcome at the end.
3. Synthetic Profile - Revision
Profile containing values generated on the basis of
predefined periods (day and season groups) and
corresponding day and annual profiles.
Synthetic profiles are used when no interval data is
available.
These profiles classify the consumption patterns of
certain groups of customers.
Customers with similar consumption patterns are
allocated to the same synthetic profile.
Dynamic modification factors are used to change
synthetic profile values. These factors prevent large jumps
between season types and allow you to maintain
residential customers’ normal profile shape.
4. Synthetic Profile II-Process Followed
II-
For this demo I will use a synthetic profile already
created. This shall be allocated to the load profile in the
installation along with the Profile Allocation Role and the
calculated Usage factor.
Then I will execute billing runs and check with the usage
factor if they are getting modified.
For more on Synthetic Profile go to this link
http://wp.me/p1Ci5j-q