Solar forecast - custom api calls possible?

[scruysberghs]

I see that there now is an option to get solar forecasts into evcc. (solcast , open-meteo etc).
Since I already have solar forecast in Home Assistant I was wondering if this would also support a custom template doing API call's to home assistant and some jq parsing?

I mean like

tariffs:
  grid:
    type: custom
    forecast:
      source: http

But then for this:

  solar:
    - type: template
      template: custom

And if so, would that expect the same json dataformat as the custom grid tarrif? Like

[
  { "start": "2025-01-01T00:00:00Z", "end": "2025-01-01T01:00:00Z", "value": _expected value in Watt_ },
  { "start": "2025-01-01T01:00:00Z", "end": "2025-01-01T02:00:00Z", "value": .... },
]

I want to avoid having to pull the same external api twice if possible and my solar predictions in home assistant are parsed by EMHASS machine learning module to take local offset into account (specific shaddow, dirty solar panels etc..) (https://emhass.readthedocs.io/en/latest/forecasts.html#adjusting-pv-forecasts-using-machine-learning)

[StefanSchoof]

Yes, that is possible. You can take a look at the templates

evcc/templates/definition/tariff/open-meteo.yaml

Line 71 in 7c8b9f5

type: custom

[thecem]

tariffs:
  solar:
    - type: custom
      forecast: ## Open-Meteo-Forecast integration HA
        source: http
        uri: http://127.0.0.1:8123/api/states/sensor.energy_production_72h_forecast
        method: GET
        headers:
          - content-type: application/json
          - authorization: Bearer eyxxxxxGFiODM2xxxMCIsImlhdCI6MTY1NzQ0NjQ3xxxx.EtakTBxxxr61U1jmLb4PxxxxxC6_w1cxx0
        insecure: false # set to true to trust self-signed certificates
        jq: |
          .attributes.watts | to_entries
          | map({
              "datetime": (.key | strptime("%Y-%m-%dT%H:%M:%S%z") | mktime),
              "value": .value
          })
          | group_by(.datetime - (.datetime % 3600))
          | map({
              start: (.[0].datetime | strftime("%FT%TZ")),
              end: (.[0].datetime + 3600 | strftime("%FT%TZ")),
              value: (map(.value) | add / length | round)
          })
          | tostring

[thecem]

HA yaml

## Tempplate Sensor to combine all Forecast Solar sensors to one Forecast list in one sensor
template:
## Today
  - sensor:
      - name: "Energy Production today all"
        unique_id: energy_production_today_all
        unit_of_measurement: "kWh"
        device_class: energy
        state: >-
          {{
            (
              states('sensor.energy_production_today_13') | float(default=0) +
              states('sensor.energy_production_today_14') | float(default=0) +
              states('sensor.energy_production_today_15') | float(default=0) +
              states('sensor.energy_production_today_16') | float(default=0) +
              states('sensor.energy_production_today_17') | float(default=0) +
              states('sensor.energy_production_today_18') | float(default=0) +
              states('sensor.energy_production_today_19') | float(default=0) +
              states('sensor.energy_production_today_20') | float(default=0) +
              states('sensor.energy_production_today_21') | float(default=0) +
              states('sensor.energy_production_today_22') | float(default=0) +
              states('sensor.energy_production_today_23') | float(default=0) +
              states('sensor.energy_production_today_24') | float(default=0)
            ) | round(2) 
          }}
        attributes:
          watts: >-
            {% set sensor1 = state_attr('sensor.energy_production_today_13', 'watts') %}
            {% set sensor2 = state_attr('sensor.energy_production_today_14', 'watts') %}
            {% set sensor3 = state_attr('sensor.energy_production_today_15', 'watts') %}
            {% set sensor4 = state_attr('sensor.energy_production_today_16', 'watts') %}
            {% set sensor5 = state_attr('sensor.energy_production_today_17', 'watts') %}
            {% set sensor6 = state_attr('sensor.energy_production_today_18', 'watts') %}
            {% set sensor7 = state_attr('sensor.energy_production_today_19', 'watts') %}
            {% set sensor8 = state_attr('sensor.energy_production_today_20', 'watts') %}
            {% set sensor9 = state_attr('sensor.energy_production_today_21', 'watts') %}
            {% set sensor10 = state_attr('sensor.energy_production_today_22', 'watts') %}
            {% set sensor11 = state_attr('sensor.energy_production_today_23', 'watts') %}
            {% set sensor12 = state_attr('sensor.energy_production_today_24', 'watts') %}
              {% set ns = namespace(output={}) %}
              {% for time, value in sensor1.items() %}
                {% set sum_value = value + sensor2[time] + sensor3[time] + sensor4[time] + sensor5[time] + sensor6[time] + sensor7[time] + sensor8[time] + sensor9[time] + sensor10[time] + sensor11[time] + sensor12[time]%}
                {% set ns.output = dict({time: sum_value}, **ns.output) %}
              {% endfor %}
              {{ ns.output }}
          wh_period: >-
            {% set sensor1 = state_attr('sensor.energy_production_today_13', 'wh_period') %}
            {% set sensor2 = state_attr('sensor.energy_production_today_14', 'wh_period') %}
            {% set sensor3 = state_attr('sensor.energy_production_today_15', 'wh_period') %}
            {% set sensor4 = state_attr('sensor.energy_production_today_16', 'wh_period') %}
            {% set sensor5 = state_attr('sensor.energy_production_today_17', 'wh_period') %}
            {% set sensor6 = state_attr('sensor.energy_production_today_18', 'wh_period') %}
            {% set sensor7 = state_attr('sensor.energy_production_today_19', 'wh_period') %}
            {% set sensor8 = state_attr('sensor.energy_production_today_20', 'wh_period') %}
            {% set sensor9 = state_attr('sensor.energy_production_today_21', 'wh_period') %}
            {% set sensor10 = state_attr('sensor.energy_production_today_22', 'wh_period') %}
            {% set sensor11 = state_attr('sensor.energy_production_today_23', 'wh_period') %}
            {% set sensor12 = state_attr('sensor.energy_production_today_24', 'wh_period') %}
              {% set ns = namespace(output={}) %}
              {% for time, value in sensor1.items() %}
                {% set sum_value = value + sensor2[time] + sensor3[time] + sensor4[time] + sensor5[time] + sensor6[time] + sensor7[time] + sensor8[time] + sensor9[time] + sensor10[time] + sensor11[time] + sensor12[time]%}
                {% set ns.output = dict({time: sum_value}, **ns.output) %}
              {% endfor %}
              {{ ns.output }}
      - name: "Energy next Hour all"
        unique_id: energy_next_hour_all
        unit_of_measurement: "kWh"
        device_class: energy
        state: >-
          {{
            (
              states('sensor.energy_next_hour_13') | float(default=0) +
              states('sensor.energy_next_hour_14') | float(default=0) +
              states('sensor.energy_next_hour_15') | float(default=0) +
              states('sensor.energy_next_hour_16') | float(default=0) +
              states('sensor.energy_next_hour_17') | float(default=0) +
              states('sensor.energy_next_hour_18') | float(default=0) +
              states('sensor.energy_next_hour_19') | float(default=0) +
              states('sensor.energy_next_hour_20') | float(default=0) +
              states('sensor.energy_next_hour_21') | float(default=0) +
              states('sensor.energy_next_hour_22') | float(default=0) +
              states('sensor.energy_next_hour_23') | float(default=0) +
              states('sensor.energy_next_hour_24') | float(default=0)
            ) | round(2) 
          }}
      - name: "Energy Production today Remaining all"
        unique_id: energy_production_today_remaining_all
        unit_of_measurement: "kWh"
        device_class: energy
        state: >-
          {{
            (
              states('sensor.energy_production_today_remaining_13') | float(default=0) +
              states('sensor.energy_production_today_remaining_14') | float(default=0) +
              states('sensor.energy_production_today_remaining_15') | float(default=0) +
              states('sensor.energy_production_today_remaining_16') | float(default=0) +
              states('sensor.energy_production_today_remaining_17') | float(default=0) +
              states('sensor.energy_production_today_remaining_18') | float(default=0) +
              states('sensor.energy_production_today_remaining_19') | float(default=0) +
              states('sensor.energy_production_today_remaining_20') | float(default=0) +
              states('sensor.energy_production_today_remaining_21') | float(default=0) +
              states('sensor.energy_production_today_remaining_22') | float(default=0) +
              states('sensor.energy_production_today_remaining_23') | float(default=0) +
              states('sensor.energy_production_today_remaining_24') | float(default=0)
            ) | round(2) 
          }}
## Tomorrow
      - name: "Energy Production tomorrow all"
        unique_id: energy_production_tomorrow_all
        unit_of_measurement: "kWh"
        device_class: energy
        state: >-
          {{
            (
              states('sensor.energy_production_tomorrow_13') | float(default=0) +
              states('sensor.energy_production_tomorrow_14') | float(default=0) +
              states('sensor.energy_production_tomorrow_15') | float(default=0) +
              states('sensor.energy_production_tomorrow_16') | float(default=0) +
              states('sensor.energy_production_tomorrow_17') | float(default=0) +
              states('sensor.energy_production_tomorrow_18') | float(default=0) +
              states('sensor.energy_production_tomorrow_19') | float(default=0) +
              states('sensor.energy_production_tomorrow_20') | float(default=0) +
              states('sensor.energy_production_tomorrow_21') | float(default=0) +
              states('sensor.energy_production_tomorrow_22') | float(default=0) +
              states('sensor.energy_production_tomorrow_23') | float(default=0) +
              states('sensor.energy_production_tomorrow_24') | float(default=0)
            ) | round(2) 
          }}
        attributes:
          watts: >-
            {% set sensor1 = state_attr('sensor.energy_production_tomorrow_13', 'watts') %}
            {% set sensor2 = state_attr('sensor.energy_production_tomorrow_14', 'watts') %}
            {% set sensor3 = state_attr('sensor.energy_production_tomorrow_15', 'watts') %}
            {% set sensor4 = state_attr('sensor.energy_production_tomorrow_16', 'watts') %}
            {% set sensor5 = state_attr('sensor.energy_production_tomorrow_17', 'watts') %}
            {% set sensor6 = state_attr('sensor.energy_production_tomorrow_18', 'watts') %}
            {% set sensor7 = state_attr('sensor.energy_production_tomorrow_19', 'watts') %}
            {% set sensor8 = state_attr('sensor.energy_production_tomorrow_20', 'watts') %}
            {% set sensor9 = state_attr('sensor.energy_production_tomorrow_21', 'watts') %}
            {% set sensor10 = state_attr('sensor.energy_production_tomorrow_22', 'watts') %}
            {% set sensor11 = state_attr('sensor.energy_production_tomorrow_23', 'watts') %}
            {% set sensor12 = state_attr('sensor.energy_production_tomorrow_24', 'watts') %}
              {% set ns = namespace(output={}) %}
              {% for time, value in sensor1.items() %}
                {% set sum_value = value + sensor2[time] + sensor3[time] + sensor4[time] + sensor5[time] + sensor6[time] + sensor7[time] + sensor8[time] + sensor9[time] + sensor10[time] + sensor11[time] + sensor12[time]%}
                {% set ns.output = dict({time: sum_value}, **ns.output) %}
              {% endfor %}
              {{ ns.output }}
          wh_period: >-
            {% set sensor1 = state_attr('sensor.energy_production_tomorrow_13', 'wh_period') %}
            {% set sensor2 = state_attr('sensor.energy_production_tomorrow_14', 'wh_period') %}
            {% set sensor3 = state_attr('sensor.energy_production_tomorrow_15', 'wh_period') %}
            {% set sensor4 = state_attr('sensor.energy_production_tomorrow_16', 'wh_period') %}
            {% set sensor5 = state_attr('sensor.energy_production_tomorrow_17', 'wh_period') %}
            {% set sensor6 = state_attr('sensor.energy_production_tomorrow_18', 'wh_period') %}
            {% set sensor7 = state_attr('sensor.energy_production_tomorrow_19', 'wh_period') %}
            {% set sensor8 = state_attr('sensor.energy_production_tomorrow_20', 'wh_period') %}
            {% set sensor9 = state_attr('sensor.energy_production_tomorrow_21', 'wh_period') %}
            {% set sensor10 = state_attr('sensor.energy_production_tomorrow_22', 'wh_period') %}
            {% set sensor11 = state_attr('sensor.energy_production_tomorrow_23', 'wh_period') %}
            {% set sensor12 = state_attr('sensor.energy_production_tomorrow_24', 'wh_period') %}
              {% set ns = namespace(output={}) %}
              {% for time, value in sensor1.items() %}
                {% set sum_value = value + sensor2[time] + sensor3[time] + sensor4[time] + sensor5[time] + sensor6[time] + sensor7[time] + sensor8[time] + sensor9[time] + sensor10[time] + sensor11[time] + sensor12[time]%}
                {% set ns.output = dict({time: sum_value}, **ns.output) %}
              {% endfor %}
              {{ ns.output }}
## Day after Tommorow (d2)
      - name: "Energy Production D2 all"
        unique_id: energy_production_d2_all
        unit_of_measurement: "kWh"
        device_class: energy
        state: >-
          {{
            (
              states('sensor.energy_production_d2') | float(default=0) +
              states('sensor.energy_production_d2_2') | float(default=0) +
              states('sensor.energy_production_d2_3') | float(default=0) +
              states('sensor.energy_production_d2_4') | float(default=0) +
              states('sensor.energy_production_d2_5') | float(default=0) +
              states('sensor.energy_production_d2_6') | float(default=0) +
              states('sensor.energy_production_d2_7') | float(default=0) +
              states('sensor.energy_production_d2_8') | float(default=0) +
              states('sensor.energy_production_d2_9') | float(default=0) +
              states('sensor.energy_production_d2_10') | float(default=0) +
              states('sensor.energy_production_d2_11') | float(default=0) +
              states('sensor.energy_production_d2_12') | float(default=0)
            ) | round(2) 
          }}
        attributes:
          watts: >-
            {% set sensor1 = state_attr('sensor.energy_production_d2', 'watts') %}
            {% set sensor2 = state_attr('sensor.energy_production_d2_2', 'watts') %}
            {% set sensor3 = state_attr('sensor.energy_production_d2_3', 'watts') %}
            {% set sensor4 = state_attr('sensor.energy_production_d2_4', 'watts') %}
            {% set sensor5 = state_attr('sensor.energy_production_d2_5', 'watts') %}
            {% set sensor6 = state_attr('sensor.energy_production_d2_6', 'watts') %}
            {% set sensor7 = state_attr('sensor.energy_production_d2_7', 'watts') %}
            {% set sensor8 = state_attr('sensor.energy_production_d2_8', 'watts') %}
            {% set sensor9 = state_attr('sensor.energy_production_d2_9', 'watts') %}
            {% set sensor10 = state_attr('sensor.energy_production_d2_10', 'watts') %}
            {% set sensor11 = state_attr('sensor.energy_production_d2_11', 'watts') %}
            {% set sensor12 = state_attr('sensor.energy_production_d2_12', 'watts') %}
              {% set ns = namespace(output={}) %}
              {% for time, value in sensor1.items() %}
                {% set sum_value = value + sensor2[time] + sensor3[time] + sensor4[time] + sensor5[time] + sensor6[time] + sensor7[time] + sensor8[time] + sensor9[time] + sensor10[time] + sensor11[time] + sensor12[time]%}
                {% set ns.output = dict({time: sum_value}, **ns.output) %}
              {% endfor %}
              {{ ns.output }}
          wh_period: >-
            {% set sensor1 = state_attr('sensor.energy_production_d2', 'wh_period') %}
            {% set sensor2 = state_attr('sensor.energy_production_d2_2', 'wh_period') %}
            {% set sensor3 = state_attr('sensor.energy_production_d2_3', 'wh_period') %}
            {% set sensor4 = state_attr('sensor.energy_production_d2_4', 'wh_period') %}
            {% set sensor5 = state_attr('sensor.energy_production_d2_5', 'wh_period') %}
            {% set sensor6 = state_attr('sensor.energy_production_d2_6', 'wh_period') %}
            {% set sensor7 = state_attr('sensor.energy_production_d2_7', 'wh_period') %}
            {% set sensor8 = state_attr('sensor.energy_production_d2_8', 'wh_period') %}
            {% set sensor9 = state_attr('sensor.energy_production_d2_9', 'wh_period') %}
            {% set sensor10 = state_attr('sensor.energy_production_d2_10', 'wh_period') %}
            {% set sensor11 = state_attr('sensor.energy_production_d2_11', 'wh_period') %}
            {% set sensor12 = state_attr('sensor.energy_production_d2_12', 'wh_period') %}
              {% set ns = namespace(output={}) %}
              {% for time, value in sensor1.items() %}
                {% set sum_value = value + sensor2[time] + sensor3[time] + sensor4[time] + sensor5[time] + sensor6[time] + sensor7[time] + sensor8[time] + sensor9[time] + sensor10[time] + sensor11[time] + sensor12[time]%}
                {% set ns.output = dict({time: sum_value}, **ns.output) %}
              {% endfor %}
              {{ ns.output }}

      - name: "Energy Production 72h Forecast"
        unique_id: energy_production_72h_forecast
        unit_of_measurement: "kWh"
        device_class: energy
        state: >-
          {{
              states('sensor.energy_production_today_all')|float +
              states('sensor.energy_production_tomorrow_all')|float  +
              states('sensor.energy_production_d2_all')|float
          }}
        attributes:
          watts: >-
            {% set w1 = state_attr('sensor.energy_production_today_all', 'watts') %}
            {% set w2 = state_attr('sensor.energy_production_tomorrow_all', 'watts') %}
            {% set w3 = state_attr('sensor.energy_production_d2_all', 'watts') %}
            {{ w1 | combine(w2) | combine(w3) }}
          wh_period: >-
            {% set wh1 = state_attr('sensor.energy_production_today_all', 'wh_period') %}
            {% set wh2 = state_attr('sensor.energy_production_tomorrow_all', 'wh_period') %}
            {% set wh3 = state_attr('sensor.energy_production_d2_all', 'wh_period') %}
            {{ wh1 | combine(wh2) | combine(wh3) }}
          today: "{{ states('sensor.energy_production_today_all') }}"
          tomorrow: "{{ states('sensor.energy_production_tomorrow_all') }}"
          day_after_tomorrow: "{{ states('sensor.energy_production_d2_all') }}"

[sipiyou]

I stepped over the same issue today. This is the configuration for evcc.

tariffs:
  solar:
     type: custom
     interval: 30m     
     forecast:
       source: http
       uri: http://192.168.1.101/verbrauch/solcast.php

---

and this is how your json output should look like from the script which generates the data:

[
    {
        "start": "2025-06-27T21:30:00Z",
        "end": "2025-06-27T22:00:00Z",
        "value": 54.1
    },
    {
        "start": "2025-06-27T22:00:00Z",
        "end": "2025-06-27T22:30:00Z",
        "value": 6.1
    },
]

[scruysberghs]

Thanks guys, got it working.

Anyone else trying to re-use emhass solar predictions from home assistant in evcc:

create a template in home assistant that formats the data

template:
  - sensor:
      - name: "EVCC Solar Forecast"
        unique_id: evcc_solar_forecast
        icon: mdi:weather-sunny
        state: >
          {{ state_attr('sensor.mpc_p_pv_forecast', 'forecasts') | default([]) | length }}
        attributes:
          forecast: >-
            {%- set data = state_attr('sensor.mpc_p_pv_forecast', 'forecasts') | default([]) -%}
            {%- set ns = namespace(json='[') -%}

            {%- for i in range(data | length) -%}
              {%- set item = data[i] -%}
              {%- set start = as_timestamp(item.date) | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', false) -%}

              {%- if i + 1 < (data | length) -%}
                {%- set end = as_timestamp(data[i + 1].date) | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', false) -%}
              {%- else -%}
                {%- set end = (as_timestamp(item.date) + 1800) | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', false) -%}
              {%- endif -%}

              {%- set value = item.mpc_p_pv_forecast | float | round(2) -%}

              {%- set ns.json = ns.json
                ~ '{"start":"' ~ start
                ~ '","end":"' ~ end
                ~ '","value":' ~ value ~ '}' -%}

              {%- if not loop.last -%}
                {%- set ns.json = ns.json ~ ',' -%}
              {%- endif -%}
            {%- endfor -%}

            {{ ns.json ~ ']' }}

and the definition en evcc.yaml becomes:

solar:
  type: custom
  forecast:
    source: http
    uri: http://homeassistant:8123/api/states/sensor.evcc_solar_forecast
    headers:
      - Authorization: Bearer <JE-LANGE-TERM-TOKEN>
      - Content-Type: application/json
    insecure: true
    jq: ".attributes.forecast | tostring"
    timeout: 2s

Output of the home assistant template looks like this :

In evcc it looks like this

Anyone know what the adjust solar forecast button in evcc does? Is this based on machine learning like emhass or just scales down to instant solar production measurement?

[mucki12]

Could someone give me a hand?

I created a sensor in HA because I want to include the power output of a fuel cell in the forecast.

The sensor is initially providing values, and I've resolved the previous error messages in evcc:

icon: mdi:fire
friendly_name: Brennstoffzelle Forecast
forecast:
  - start: "2025-12-06T09:10:17Z"
    end: "2025-12-06T09:40:17Z"
    value: 616.32
  - start: "2025-12-06T09:40:17Z"
    end: "2025-12-06T10:10:17Z"
    value: 616.32
  - start: "2025-12-06T10:10:17Z"
    end: "2025-12-06T10:40:17Z"
    value: 616.32
  - start: "2025-12-06T10:40:17Z"
    end: "2025-12-06T11:10:17Z"
    value: 616.32
  - start: "2025-12-06T11:10:17Z"
    end: "2025-12-06T11:40:17Z"
    value: 616.32
  - start: "2025-12-06T11:40:17Z"
    end: "2025-12-06T12:10:17Z"
    value: 616.32
  - start: "2025-12-06T12:10:17Z"
    end: "2025-12-06T12:40:17Z"
    value: 616.32
etc...

However, I configured the integration in evcc as follows:

solar:
  - type: template # Garage und Gaube
    template: forecast-solar
    lat: XX
    lon: XX
    dec: 10 # 0 = horizontal, 90 = vertikal
    az: 35 # -180 = Norden, -90 = Osten, 0 = Süden, 90 = Westen, 180 = Norden
    kwp: 5.5
  - type: template # Südost
    template: forecast-solar
    lat: XX
    lon: XX
    dec: 40 # 0 = horizontal, 90 = vertikal
    az: -55 # -180 = Norden, -90 = Osten, 0 = Süden, 90 = Westen, 180 = Norden
    kwp: 5.9
  - type: custom
    forecast:
      source: http
      uri: http://homeassistant:8123/api/states/sensor.brennstoffzelle_forecast
      headers:
        - Authorization: Bearer <TOKEN>
        - Content-Type: application/json
      insecure: true
      jq: ".attributes.forecast | tostring"
      timeout: 2s

This doesn't cause any error messages in tariffs, but the forecast is grayed out, and the following error message appears in site:
[site ] ERROR 2025/12/06 10:11:53 optimizer: not enough slots for optimization: 0 (grid=56, feedIn=632, solar=0)

My assumption (sorry – I simply don't know what evcc expects) is that evcc can't add the existing natively integrated forecasts with the HA custom forecast.

Therefore, my question is:
Is my format incorrect, or is this fundamentally impossible, and do I have to merge all forecasts in HA first?

[thecem]

Your time slot are not full hour oriented:

jq: |
  .attributes.forecast
  | map({
      datetime: (.start | strptime("%FT%XZ") | mktime),
      value: .value
    })
  | sort_by(.datetime)
  # Rundung auf volle 15-Minuten (900 Sekunden)
  | [ .[] | .datetime as $dt | 
      {
        start: (($dt - ($dt % 900)) | strftime("%FT%TZ")),
        end: (($dt - ($dt % 900)) + 900 | strftime("%FT%TZ")),
        value: .value
      }
    ]
  # Duplikate zusammenfassen + Mittelwert
  | group_by(.start)
  | map({
      start: .[0].start,
      end: .[0].end,
      value: (map(.value) | add / length | round(0))
    })
  | tostring

[mucki12]

Great – thank you so much!

It seems the addition of the individual values ​​is working. Now I'll check more closely why I still don't have a value for tomorrow's fuel cell output.

[mucki12]

The line
{% set now = as_timestamp() %}
results in several long error messages.

I tried to fix it with:
{% set now = as_timestamp(now()) %}

After that, the entity is there, but unavailable. I'm not very knowledgeable about this, but since the Shelly updates quite frequently, HA seems to be aborting at this point:
Error while dispatching event for sensor.shellyem_485519d954fd_channel_1_power to <Job track state_changed event {'sensor.shellyem_485519d954fd_channel_1_power'} HassJobType.Callback <bound method TrackTemplateResultInfo._refresh of <TrackTemplateResultInfo {Template<template=({% set power = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %} {% set regen_hours = [5,6] %} # KONFIGURIERBAR: Stunden auf 0 setzen (z.B. [4,12] oder [5,6]) {{ power }}) renders=6>: <RenderInfo Template<template=({% set power = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %} {% set regen_hours = [5,6] %} # KONFIGURIERBAR: Stunden auf 0 setzen (z.B. [4,12] oder [5,6]) {{ power }}) renders=6> all_states=False all_states_lifecycle=False domains=frozenset() domains_lifecycle=frozenset() entities=frozenset({'sensor.shellyem_485519d954fd_channel_1_power'}) rate_limit=None has_time=False exception=None is_static=False>, Template<template=({% set power = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %} {% set regen_hours = [5,6] %} # KONFIGURIERBAR: Stunden auf 0 setzen {% set now = as_timestamp(now()) %} # ← Geändert {% set intervals = [] %} {# 120h = 480 x 15min Intervalle #} {% for i in range(0, 480) %} {% set future_time = now + (i * 900) %} {# 900s = 15min #} {% set hour = (future_time | timestamp_custom('%H', true) | int) %} {% set minute = (future_time | timestamp_custom('%M', true)) %} {# Volle Viertelstunde (00/15/30/45) #} {% if minute in ['00','15','30','45'] %} {% set value = 0 if hour in regen_hours else power %} {% do intervals.append({ 'start': (future_time | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true)), 'end': (future_time + 900 | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true)), 'value': value | round(0) }) %} {% endif %} {% endfor %} {{ intervals }}) renders=8>: <RenderInfo Template<template=({% set power = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %} {% set regen_hours = [5,6] %} # KONFIGURIERBAR: Stunden auf 0 setzen {% set now = as_timestamp(now()) %} # ← Geändert {% set intervals = [] %} {# 120h = 480 x 15min Intervalle #} {% for i in range(0, 480) %} {% set future_time = now + (i * 900) %} {# 900s = 15min #} {% set hour = (future_time | timestamp_custom('%H', true) | int) %} {% set minute = (future_time | timestamp_custom('%M', true)) %} {# Volle Viertelstunde (00/15/30/45) #} {% if minute in ['00','15','30','45'] %} {% set value = 0 if hour in regen_hours else power %} {% do intervals.append({ 'start': (future_time | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true)), 'end': (future_time + 900 | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true)), 'value': value | round(0) }) %} {% endif %} {% endfor %} {{ intervals }}) renders=8> all_states=False all_states_lifecycle=False domains=frozenset() domains_lifecycle=frozenset() entities=frozenset({'sensor.shellyem_485519d954fd_channel_1_power'}) rate_limit=None has_time=True exception=None is_static=False>, Template<template=(mdi:fuel-cell) renders=4>: <RenderInfo Template<template=(mdi:fuel-cell) renders=4> all_states=False all_states_lifecycle=False domains=frozenset() domains_lifecycle=frozenset() entities=frozenset() rate_limit=None has_time=False exception=None is_static=True>}>>>

[mucki12]

Next try with less intervals:

  - sensor:
      - name: "Brennstoffzelle Forecast 24h"
        unique_id: brennstoffzelle_forecast_24h
        state: >
          {{ states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) }}
        attributes:
          forecast: >
            {% set power = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %}
            {% set regen_hours = [5, 6] %}
            {% set now = as_timestamp(now()) %}
            {% set out = [] %}

            {# ---- 24h = 96 × 15-min-Intervalle ---- #}
            {% for i in range(0, 96) %}
              {% set ts = now + i * 900 %}
              {% set hour = (ts | timestamp_custom('%H', true) | int) %}
              {% set minute = (ts | timestamp_custom('%M', true)) %}

              {% if minute in ['00','15','30','45'] %}
                {% set val = 0 if hour in regen_hours else power %}
                {% set start = ts | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true) %}
                {% set end = (ts + 900) | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true) %}
                {% set out = out + [ { "start": start, "end": end, "value": val } ] %}
              {% endif %}
            {% endfor %}

            {{ out }}
        unit_of_measurement: "W"
        icon: mdi:fuel-cell
        device_class: power
        state_class: measurement

Entity is available but attributes:

state_class: measurement
forecast: []
unit_of_measurement: W
device_class: power
icon: mdi:fuel-cell
friendly_name: Brennstoffzelle Forecast 24h

[thecem]

tested:

  - sensor:
      - name: "Brennstoffzelle Forecast 120h"
        unique_id: brennstoffzelle_forecast_120h
        state: >
          {{ states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) }}
        attributes:
          forecast: >-
            {% set power = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %}
            {% set regen_hours = [5,6,7] %}
            {% set base_ts = now().replace(minute=0, second=0, microsecond=0).timestamp() %}
            {% set ns = namespace(intervals=[]) %}
            {% for i in range(0, 480) %}
              {% set ts = base_ts + (i * 900) %}
              {% set dt = ts | timestamp_custom('%Y-%m-%dT%H:%M:%S', true) %}
              {% set hour = (ts | timestamp_custom('%H', true)) | int %}
              {% set value = 0 if hour in regen_hours else power %}
              {% set end_ts = ts + 900 %}
              {% set end_dt = end_ts | timestamp_custom('%Y-%m-%dT%H:%M:%S', true) %}
              {% set ns.intervals = ns.intervals + [{'start': dt + 'Z', 'end': end_dt + 'Z', 'value': value | round(0)}] %}
            {% endfor %}
            {{ ns.intervals }}
        unit_of_measurement: "W"
        device_class: power
        state_class: measurement
        icon: mdi:fuel-cell

[mucki12]

@thecem <- coding god :-)

Thanks:

[mucki12]

Just for documentation purposes, in case there are other crazy people like me with a fuel cell.

The fuel cell regenerates only every 48 hours. This is only guaranteed if it runs continuously during the winter. In the warmer months, it runs significantly less, and in the summer, sometimes not at all.

I've started an experiment to detect this and am initially using the following code for two template sensors.

I'll see if it works :-)

# Erkennung ob die Brennstoffzelle in der Regeneration ist
      - name: "BZ Regeneration Aktiv"
        unique_id: bz_regen_aktiv
        state: >
          {% set p = states('sensor.shellyem_485519d954fd_channel_1_power')|float(0) %}
          {% set low = p < 50 %}
          {% set high = p > 300 %}

          {# Dauer der 0W-Phase in Minuten #}
          {% set dur = this.attributes.low_minutes | default(0) %}

          {# Timer erhöhen oder zurücksetzen #}
          {% set dur = dur + 1 if low else 0 %}

          {# Regeneration ist aktiv, wenn 2 Stunden (120min) unterschritten wurden #}
          {% if dur >= 120 %}
            true
          {% else %}
            false
          {% endif %}
        attributes:
          low_minutes: >
            {% set p = states('sensor.shellyem_485519d954fd_channel_1_power')|float(0) %}
            {% set low = p < 50 %}
            {% set dur = this.attributes.low_minutes | default(0) %}
            {{ dur + 1 if low else 0 }}


# Brennstoffzelle Vorhersage für evcc — jetzt komplett automatisch
      - name: "Brennstoffzelle Forecast 120h"
        unique_id: brennstoffzelle_forecast_120h
        state: >
          {% set raw = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %}
          {{ [raw, 0] | max }}
        attributes:
          forecast: >-
            {% set power_raw = states('sensor.shellyem_485519d954fd_channel_1_power') | float(0) %}
            {% set power = [power_raw, 0] | max %}

            {# Automatische Regenerations-Erkennung #}
            {% set regen_aktiv = is_state('sensor.bz_regen_aktiv', 'true') %}

            {# Startzeit: nächstes gerundetes Viertel #}
            {% set base_ts = now().replace(minute=(now().minute // 15) * 15,
                                           second=0,
                                           microsecond=0).timestamp() %}

            {% set ns = namespace(data=[]) %}

            {# 120h = 480 Viertelstunden #}
            {% for i in range(0, 480) %}
              {% set ts = base_ts + (i * 900) %}
              {% set dt = ts | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true) %}
              {% set end = ts + 900 %}
              {% set dt_end = end | timestamp_custom('%Y-%m-%dT%H:%M:%SZ', true) %}

              {# In Regenzeit = 0W, sonst aktuelle Leistung #}
              {% set val = 0 if regen_aktiv else power %}

              {% set ns.data = ns.data + [{
                "start": dt,
                "end": dt_end,
                "value": val | round(0)
              }] %}
            {% endfor %}

            {{ ns.data }}
        unit_of_measurement: "W"
        device_class: power
        state_class: measurement
        icon: mdi:fuel-cell