Hello,
I am trying to do research for high-level HVAC control centered around time-of-use (ToU) energy pricing for indirect demand response. However, I cannot find any hypothetical or historical ToU data to use with my EnergyPlus model. I am hoping to use real-time or day-ahead pricing at a resolution of every hour to every 5 minutes - much finer than just on-peak & off-peak pricing blocks of the day.
Does anyone know where I can find ToU tarriff data?
However, it also seems pricing data would be highly correlated to weather data, so unless I can find ToU data paired with a weather file it will likely not be applicable to my research.
The only solution may be to generate my own arbitrary/hypothetical ToU pricing function based around my weather file of choice and other correlated and random factors (ie. summarize the day's weather and random factors to generate a daily pricing scheme). Any advice for this route?
I am using Python EMS for my EnergyPlus research, so I can be very flexible in how I implement and calculate energy tarriffs.
Thank you!
