I gave zunzun a try and the one with the lowest root mean squared error was:
f(x) = a( x**0.5) + b( x ) + c( sin(x) ) + d( cos(x) )
It got 0.202 RMSE, so I guess I'll stick with my original function as
it seems to be closer to what I expect will happen at colder/hotter
temps.
You have a good point about temperatures outside my data samples.
Once it gets hot again in the summertime, I'm sure I'll have to
re-evaluate this.
Quoting Mark Sims <[email protected]>:
You could try submitting your data to zunzun.com It will fit it to
around 40,000 different curves and find the best ones.
Beware that with all curve fitting formulas, once your live data
starts to wander out of the range of your original curve fit data,
things can go rather badly...
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