Thanks Don,
I held back on using Sense identified energy because I saw so much conflation of Sense devices depending on the season - I have 5 different identified Sense AC devices that all correlate to my Ecobee runtimes at different points in the year:
Since Ecobee runtimes during cooling are far more accurate than “batched together” Sense energy numbers, and since I have simple 1-stage AC units, what I’ll do is multiply runtime by what think to be the actual power usage of each unit (based on rated numbers and Sense numbers). I think that will give the most accurate view in energy vs. CCD comparisons. Then I’ll do the regression graphs and linear model fitting.
ps: My Ecobee’s are more accurate for cooling, but I have a furnace issue that renders my downstairs Ecobee far less accurate during the heating season. My cold air returns are too small, leading to the cutout switch turning the furnace off after about 5 minutes of runtime, cutting power to the Ecobee, and leading to a subsequent reboot.