forecast for battery

I continue to struggle with an appropriate dispatch model for a battery in SAM. Day-ahead assumes perfect knowledge of the next day (not reasonable) or Day-behind which is described as worst-case naive control (from Overview of Automated Dispatch Algorithms in SAM, N DiOrio, Aug 2017).
So my choices seem to be perfect-case versus worst-case. Does it make sense to run economics for both of these dispatch scenarios, and then choose a result between the two?
Randy

Hi Randy,

The answer depends on the purpose of your analysis. For some analyses, identifying bounds using worst- and best-case scenarios is a good starting point. Once you know what those scenarios are, you can adjust assumptions to develop an understanding of what design parameters are the ones that most affect your metrics of interest.

Best regards,
Paul.