AiKju

Hello Ben,

Great, thank you all for your help. Yes it is a problem with timezone adjustments. I will solve that later. First of all I shifted the timeframe of the reference data one hour into the future. After a lot of slicing and pasting (3 weekly time frames times 4 seasonal time frames times 3 utility models (household, company, band)) I could (almost) resolve my standard load profile for power consumption for households without using R. There are minor problems with the boundaries but I will solve that later. In my screenshot you can see the R-solution (top) and the Seeq-solution (bottom). Great thing because now I don't need to recalculate the prediction of power consumption with R and store it into PI. Instead of that I can calculate the model in real time and into the future with Seeq. There is just one big need. I need an additional function "holiday" in your "Periodic Condition" tool (I know that's not that easy but there are similar tools in Python and R too). See in my R-example (top) Christmas day should be a "Sunday" behavior.

Ben, Chris, Nick, 

Thanks a lot! Seems to be the right way to get my profiles. But I still have problems. I can't get the signals in the same timeframe and I can't see why. 

Hi all,

Can I repeat a signal section over and over again? For example, if I want to repeat a section of a curve (see snip) from 0:00:00 to 24:00 into the future

Hi Lindsey,

Thank you for your answer. Actually I am looking for this:

Cn=max[0,Xn - Number + Cn-1]

Dn=min[0,Xn - Number  + Dn-1]

These are rolling sums with kind of a reset button if Cn becomes smaller then 0 it stays 0 and if Dn becomes greater then 0 it stays 0. (You did ask ;-)). By the way the rolling sums should be per value and not per time capsule...

Kai

Hi lots,

Is there a functionality of "If...then...else" statements in formulars. Or is there at least a workaround?

Thanks for your answer in advance!