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Last seen: Aug 3, 2026
@ian33a — a measured heat loss always trumps a calculated (whatiffery spreadsheet) heat loss, providing certain requirements are met. Firstly, the I...
Yes, see below. They are just standard regression lines, just as in any spreadsheet, but in R you have more control and more options, but as I have sa...
Using past oil usage to estimate heat loss is tricky. Firstly it is very unusual to have accurate interval usage. You fills your tank and runs your ...
@jamespa — this version may be marginally better:
@jamespa — the 0900 2100 IAT/OAT data is now in R and as a starter for ten I have distinguished between setback and setback and hour, 0900 and 2100, b...
@peterwurmsdobler — thank you for your positive comments. You are certainly taking a diligent and sensible approach to assessing your own needs. The...
@jamespa — as a taster, which may in fact already have given us the answer, here is the plot for the whole dataset (no setback/no setback sub sets) fo...
The mean (over the entire range of values) difference is only 20.57 - 19.28 = 1.29°C. At lower OATs this does indeed increase, as the drop in IAT duri...
I do lean to the idea that the main way setbacks save energy is by lowering the daily mean IAT. With careful timing, my setbacks start at 2100 which i...
And finally, the mean daily IAT against mean daily OAT plots. I have broken my 'Y axis must start at zero' rule because on this occasion is may make s...
Meanwhile, I have done the residual plots for the analysis. These are somewhat technical, but in general terms, these plots indicate whether it is rea...
First plot done. Initially I missed the discrete minus sign before the 100 that changes the sign of the percentage differences, but it is inluded in t...
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