I have a sensor that sums the ‘heating’ values of 11 Tado thermostats. This sensor works as expected.
I wanted to build a derivative sensor from this sensor but found that it is too jumpy. So now I am looking at filters of the ‘total’ sensor. I am not getting the behaviour I expect.
This is how I define the filters.
- platform: filter
unique_id: tado_moving_average
name: Tado Moving Average
entity_id: sensor.total_tado_heating
filters:
- filter: time_simple_moving_average
window_size: "00:01"
precision: 2
- platform: filter
unique_id: tado_outlier
name: Tado Outlier
entity_id: sensor.total_tado_heating
filters:
- filter: outlier
window_size: 4
radius: 2.0
- platform: filter
unique_id: tado_low_pass
name: Tado Low Pass
entity_id: sensor.total_tado_heating
filters:
- filter: lowpass
time_constant: 10
Why does the moving average only change to the previous total at the next step value change in the total?
Any thoughts on how to set these filters correctly to get a filtered value similar to the Sensor card?
These are the detailed values
