Highlight cold zones!

Hi folks,

So I have multiple temperature sensors throughout my house and running a heatpump means I need to maintain air tightness for efficiency and energy/cost optimisation.

I’m wondering if there is a way to look at the temperature drop offs across my pool of sensors and highlight a room that may be falling in temperature faster than others, indicating some out of sync heat loss. This would be happening when the heatpump drops out or during the night-time period generally.

I’m thinking if I could generate an average drop per hour excluding outliers’ values and then highlight the deviation from this per room.

Before I go try to build out the logic and try to understand how I can achieve this, I’m curious if anyone has attempted this before or has any feedback, or tips on approach?

You can compare rates with the attributes of this binary sensor:

Or you can use the derivative to get the rate of change:

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