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andreasgily avatar andreasgily commented on July 22, 2024

Maybe it would be a workaround to add the 30-day average daily consumption value just before midnight, if no data could be fetched... this would smoothen out at least this spikes.

These are my sensors, calculating the daily average and expected yearly consumption (you also need a "consumption meter" - helper that resets the meter annually)

  - sensor:
      - name: 'Daily Energy Average'
        device_class: energy
        unit_of_measurement: kWh
        state: >
            {{ ((states.sensor.jahrlicher_energieverbrauch.state | float(0)) / (now().strftime('%j') | float(1)) ) | round(2) }}
  - sensor:
      - name: 'Expected Annual Energy Consumption'
        device_class: energy
        unit_of_measurement: kWh
        state: >
            {{ ((states.sensor.jahrlicher_energieverbrauch.state | float(0)) / (now().strftime('%j') | float(1)) * 365 ) | round(2) }}

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DarwinsBuddy avatar DarwinsBuddy commented on July 22, 2024

I updated your comment, please use code blocks next time for better readability.
the avg will not represent the actual consumption unfortunately, I made the compromise already by interpolating missing data with the avg of the day, but doing that for longer periods of time will result in the sensor to drift apart from the actual consumption pretty fast imho.

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DarwinsBuddy avatar DarwinsBuddy commented on July 22, 2024

covered in #101

closing this

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