feat(VRM forecast): add load and pv forecast by VRM API (#611)

Add support for fetching forecasts from the VRM API by Victron Energy. Retrieve forecasts for PV generation and total load of a Victron system from the internet. 

Tests for the new modules have been added, and the documentation has been updated accordingly.

Signed-off-by: redmoon2711 <redmoon2711@gmx.de>

docs/_generated/config.md

@@ -477,7 +477,7 @@ Validators:
 | Name | Environment Variable | Type | Read-Only | Default | Description |
 | ---- | -------------------- | ---- | --------- | ------- | ----------- |
 | provider | `EOS_LOAD__PROVIDER` | `Optional[str]` | `rw` | `None` | Load provider id of provider to be used. |
-| provider_settings | `EOS_LOAD__PROVIDER_SETTINGS` | `Union[akkudoktoreos.prediction.loadakkudoktor.LoadAkkudoktorCommonSettings, akkudoktoreos.prediction.loadimport.LoadImportCommonSettings, NoneType]` | `rw` | `None` | Provider settings |
+| provider_settings | `EOS_LOAD__PROVIDER_SETTINGS` | `Union[akkudoktoreos.prediction.loadakkudoktor.LoadAkkudoktorCommonSettings, akkudoktoreos.prediction.loadvrm.LoadVrmCommonSettings, akkudoktoreos.prediction.loadimport.LoadImportCommonSettings, NoneType]` | `rw` | `None` | Provider settings |
 :::
 
 ### Example Input/Output
@@ -520,6 +520,33 @@ Validators:
    }
 ```
 
+### Common settings for VRM API
+
+:::{table} load::provider_settings
+:widths: 10 10 5 5 30
+:align: left
+
+| Name | Type | Read-Only | Default | Description |
+| ---- | ---- | --------- | ------- | ----------- |
+| load_vrm_token | `str` | `rw` | `your-token` | Token for Connecting VRM API |
+| load_vrm_idsite | `int` | `rw` | `12345` | VRM-Installation-ID |
+:::
+
+#### Example Input/Output
+
+```{eval-rst}
+.. code-block:: json
+
+   {
+       "load": {
+           "provider_settings": {
+               "load_vrm_token": "your-token",
+               "load_vrm_idsite": 12345
+           }
+       }
+   }
+```
+
 ### Common settings for load data import from file
 
 :::{table} load::provider_settings
@@ -554,7 +581,7 @@ Validators:
 | Name | Environment Variable | Type | Read-Only | Default | Description |
 | ---- | -------------------- | ---- | --------- | ------- | ----------- |
 | provider | `EOS_PVFORECAST__PROVIDER` | `Optional[str]` | `rw` | `None` | PVForecast provider id of provider to be used. |
-| provider_settings | `EOS_PVFORECAST__PROVIDER_SETTINGS` | `Optional[akkudoktoreos.prediction.pvforecastimport.PVForecastImportCommonSettings]` | `rw` | `None` | Provider settings |
+| provider_settings | `EOS_PVFORECAST__PROVIDER_SETTINGS` | `Union[akkudoktoreos.prediction.pvforecastimport.PVForecastImportCommonSettings, akkudoktoreos.prediction.pvforecastvrm.PVforecastVrmCommonSettings, NoneType]` | `rw` | `None` | Provider settings |
 | planes | `EOS_PVFORECAST__PLANES` | `Optional[list[akkudoktoreos.prediction.pvforecast.PVForecastPlaneSetting]]` | `rw` | `None` | Plane configuration. |
 | max_planes | `EOS_PVFORECAST__MAX_PLANES` | `Optional[int]` | `rw` | `0` | Maximum number of planes that can be set |
 | planes_peakpower | | `List[float]` | `ro` | `N/A` | Compute a list of the peak power per active planes. |
@@ -795,6 +822,33 @@ Validators:
    }
 ```
 
+### Common settings for VRM API
+
+:::{table} pvforecast::provider_settings
+:widths: 10 10 5 5 30
+:align: left
+
+| Name | Type | Read-Only | Default | Description |
+| ---- | ---- | --------- | ------- | ----------- |
+| pvforecast_vrm_token | `str` | `rw` | `your-token` | Token for Connecting VRM API |
+| pvforecast_vrm_idsite | `int` | `rw` | `12345` | VRM-Installation-ID |
+:::
+
+#### Example Input/Output
+
+```{eval-rst}
+.. code-block:: json
+
+   {
+       "pvforecast": {
+           "provider_settings": {
+               "pvforecast_vrm_token": "your-token",
+               "pvforecast_vrm_idsite": 12345
+           }
+       }
+   }
+```
+
 ### Common settings for pvforecast data import from file or JSON string
 
 :::{table} pvforecast::provider_settings

docs/akkudoktoreos/prediction.md

@@ -184,6 +184,7 @@ Configuration options:
   - `provider`: Load provider id of provider to be used.
 
     - `LoadAkkudoktor`: Retrieves from local database.
+    - `LoadVrm`: Retrieves data from the VRM API by Victron Energy.
     - `LoadImport`: Imports from a file or JSON string.
 
   - `provider_settings.loadakkudoktor_year_energy`: Yearly energy consumption (kWh).
@@ -196,6 +197,27 @@ The `LoadAkkudoktor` provider retrieves generic load data from a local database
 align with the annual energy consumption specified in the `loadakkudoktor_year_energy` configuration
 option.
 
+### LoadVrm Provider
+
+The `LoadVrm` provider retrieves load forecast data from the VRM API by Victron Energy.
+To receive forecasts, the system data must be configured under Dynamic ESS in the VRM portal.
+To query the forecasts, an API token is required, which can also be created in the VRM portal under Preferences.
+This token must be stored in the EOS configuration along with the VRM-Installations-ID.
+
+```python
+    {
+        "load": {
+            "provider": "LoadVrm",
+            "provider_settings": {
+                "load_vrm_token": "dummy-token",
+                "load_vrm_idsite": 12345
+    }
+```
+
+The prediction keys for the load forecast data are:
+
+- `load_mean`: Predicted load mean value (W).
+
 ### LoadImport Provider
 
 The `LoadImport` provider is designed to import load forecast data from a file or a JSON
@@ -234,6 +256,7 @@ Configuration options:
   - `provider`: PVForecast provider id of provider to be used.
 
     - `PVForecastAkkudoktor`: Retrieves from Akkudoktor.net.
+    - `PVForecastVrm`: Retrieves data from the VRM API by Victron Energy.
     - `PVForecastImport`: Imports from a file or JSON string.
 
   - `planes[].surface_tilt`: Tilt angle from horizontal plane. Ignored for two-axis tracking.
@@ -422,6 +445,28 @@ Example:
 }
 ```
 
+### PVForecastVrm Provider
+
+The `PVForecastVrm` provider retrieves pv power forecast data from the VRM API by Victron Energy.
+To receive forecasts, the system data must be configured under Dynamic ESS in the VRM portal.
+To query the forecasts, an API token is required, which can also be created in the VRM portal under Preferences.
+This token must be stored in the EOS configuration along with the VRM-Installations-ID.
+
+```python
+    {
+        "pvforecast": {
+            "provider": "PVForecastVrm",
+            "provider_settings": {
+                "pvforecast_vrm_token": "dummy-token",
+                "pvforecast_vrm_idsite": 12345
+            }
+    }
+```
+
+The prediction keys for the PV forecast data are:
+
+- `pvforecast_dc_power`: Total DC power (W).
+
 ### PVForecastImport Provider
 
 The `PVForecastImport` provider is designed to import PV forecast data from a file or a JSON
@@ -430,8 +475,8 @@ becomes available.
 
 The prediction keys for the PV forecast data are:
 
-- `pvforecast_ac_power`: Total DC power (W).
-- `pvforecast_dc_power`: Total AC power (W).
+- `pvforecast_ac_power`: Total AC power (W).
+- `pvforecast_dc_power`: Total DC power (W).
 
 The PV forecast data must be provided in one of the formats described in
 <project:#prediction-import-providers>. The data source can be given in the

src/akkudoktoreos/prediction/load.py

@@ -8,6 +8,7 @@ from akkudoktoreos.config.configabc import SettingsBaseModel
 from akkudoktoreos.prediction.loadabc import LoadProvider
 from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktorCommonSettings
 from akkudoktoreos.prediction.loadimport import LoadImportCommonSettings
+from akkudoktoreos.prediction.loadvrm import LoadVrmCommonSettings
 from akkudoktoreos.prediction.prediction import get_prediction
 
 prediction_eos = get_prediction()
@@ -29,9 +30,9 @@ class LoadCommonSettings(SettingsBaseModel):
         examples=["LoadAkkudoktor"],
     )
 
-    provider_settings: Optional[Union[LoadAkkudoktorCommonSettings, LoadImportCommonSettings]] = (
-        Field(default=None, description="Provider settings", examples=[None])
-    )
+    provider_settings: Optional[
+        Union[LoadAkkudoktorCommonSettings, LoadVrmCommonSettings, LoadImportCommonSettings]
+    ] = Field(default=None, description="Provider settings", examples=[None])
 
     # Validators
     @field_validator("provider", mode="after")

src/akkudoktoreos/prediction/loadvrm.py

@@ -0,0 +1,109 @@
+"""Retrieves load forecast data from VRM API."""
+
+from typing import Any, Optional, Union
+
+import requests
+from loguru import logger
+from pendulum import DateTime
+from pydantic import Field, ValidationError
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+from akkudoktoreos.prediction.loadabc import LoadProvider
+from akkudoktoreos.utils.datetimeutil import to_datetime
+
+
+class VrmForecastRecords(PydanticBaseModel):
+    vrm_consumption_fc: list[tuple[int, float]]
+    solar_yield_forecast: list[tuple[int, float]]
+
+
+class VrmForecastResponse(PydanticBaseModel):
+    success: bool
+    records: VrmForecastRecords
+    totals: dict
+
+
+class LoadVrmCommonSettings(SettingsBaseModel):
+    """Common settings for VRM API."""
+
+    load_vrm_token: str = Field(
+        default="your-token", description="Token for Connecting VRM API", examples=["your-token"]
+    )
+    load_vrm_idsite: int = Field(default=12345, description="VRM-Installation-ID", examples=[12345])
+
+
+class LoadVrm(LoadProvider):
+    """Fetch Load forecast data from VRM API."""
+
+    @classmethod
+    def provider_id(cls) -> str:
+        return "LoadVrm"
+
+    @classmethod
+    def _validate_data(cls, json_str: Union[bytes, Any]) -> VrmForecastResponse:
+        """Validate the VRM API load forecast response."""
+        try:
+            return VrmForecastResponse.model_validate_json(json_str)
+        except ValidationError as e:
+            error_msg = "\n".join(
+                f"Field: {' -> '.join(str(x) for x in err['loc'])}\n"
+                f"Error: {err['msg']}\nType: {err['type']}"
+                for err in e.errors()
+            )
+            logger.error(f"VRM-API schema validation failed:\n{error_msg}")
+            raise ValueError(error_msg)
+
+    def _request_forecast(self, start_ts: int, end_ts: int) -> VrmForecastResponse:
+        """Fetch forecast data from Victron VRM API."""
+        base_url = "https://vrmapi.victronenergy.com/v2/installations"
+        installation_id = self.config.load.provider_settings.load_vrm_idsite
+        api_token = self.config.load.provider_settings.load_vrm_token
+
+        url = f"{base_url}/{installation_id}/stats?type=forecast&start={start_ts}&end={end_ts}&interval=hours"
+        headers = {"X-Authorization": f"Token {api_token}", "Content-Type": "application/json"}
+
+        logger.debug(f"Requesting VRM load forecast: {url}")
+        try:
+            response = requests.get(url, headers=headers, timeout=30)
+            response.raise_for_status()
+        except requests.RequestException as e:
+            logger.error(f"Error during VRM API request: {e}")
+            raise RuntimeError("Failed to fetch load forecast from VRM API") from e
+
+        self.update_datetime = to_datetime(in_timezone=self.config.general.timezone)
+        return self._validate_data(response.content)
+
+    def _ts_to_datetime(self, timestamp: int) -> DateTime:
+        """Convert UNIX ms timestamp to timezone-aware datetime."""
+        return to_datetime(timestamp / 1000, in_timezone=self.config.general.timezone)
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Fetch and store VRM load forecast as load_mean and related values."""
+        start_date = self.start_datetime.start_of("day")
+        end_date = self.start_datetime.add(hours=self.config.prediction.hours)
+        start_ts = int(start_date.timestamp())
+        end_ts = int(end_date.timestamp())
+
+        logger.info(f"Updating Load forecast from VRM: {start_date} to {end_date}")
+        vrm_forecast_data = self._request_forecast(start_ts, end_ts)
+
+        load_mean_data = []
+        for timestamp, value in vrm_forecast_data.records.vrm_consumption_fc:
+            date = self._ts_to_datetime(timestamp)
+            rounded_value = round(value, 2)
+
+            self.update_value(
+                date,
+                {"load_mean": rounded_value, "load_std": 0.0, "load_mean_adjusted": rounded_value},
+            )
+
+            load_mean_data.append((date, rounded_value))
+
+        logger.debug(f"Updated load_mean with {len(load_mean_data)} entries.")
+        self.update_datetime = to_datetime(in_timezone=self.config.general.timezone)
+
+
+if __name__ == "__main__":
+    lv = LoadVrm()
+    lv._update_data()

src/akkudoktoreos/prediction/prediction.py

@@ -36,9 +36,11 @@ from akkudoktoreos.prediction.elecpriceenergycharts import ElecPriceEnergyCharts
 from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
 from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktor
 from akkudoktoreos.prediction.loadimport import LoadImport
+from akkudoktoreos.prediction.loadvrm import LoadVrm
 from akkudoktoreos.prediction.predictionabc import PredictionContainer
 from akkudoktoreos.prediction.pvforecastakkudoktor import PVForecastAkkudoktor
 from akkudoktoreos.prediction.pvforecastimport import PVForecastImport
+from akkudoktoreos.prediction.pvforecastvrm import PVForecastVrm
 from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
 from akkudoktoreos.prediction.weatherclearoutside import WeatherClearOutside
 from akkudoktoreos.prediction.weatherimport import WeatherImport
@@ -87,8 +89,10 @@ class Prediction(PredictionContainer):
             ElecPriceEnergyCharts,
             ElecPriceImport,
             LoadAkkudoktor,
+            LoadVrm,
             LoadImport,
             PVForecastAkkudoktor,
+            PVForecastVrm,
             PVForecastImport,
             WeatherBrightSky,
             WeatherClearOutside,
@@ -102,8 +106,10 @@ elecprice_akkudoktor = ElecPriceAkkudoktor()
 elecprice_energy_charts = ElecPriceEnergyCharts()
 elecprice_import = ElecPriceImport()
 load_akkudoktor = LoadAkkudoktor()
+load_vrm = LoadVrm()
 load_import = LoadImport()
 pvforecast_akkudoktor = PVForecastAkkudoktor()
+pvforecast_vrm = PVForecastVrm()
 pvforecast_import = PVForecastImport()
 weather_brightsky = WeatherBrightSky()
 weather_clearoutside = WeatherClearOutside()
@@ -120,8 +126,10 @@ def get_prediction() -> Prediction:
             elecprice_energy_charts,
             elecprice_import,
             load_akkudoktor,
+            load_vrm,
             load_import,
             pvforecast_akkudoktor,
+            pvforecast_vrm,
             pvforecast_import,
             weather_brightsky,
             weather_clearoutside,

src/akkudoktoreos/prediction/pvforecast.py

@@ -1,6 +1,6 @@
 """PV forecast module for PV power predictions."""
 
-from typing import Any, List, Optional, Self
+from typing import Any, List, Optional, Self, Union
 
 from pydantic import Field, computed_field, field_validator, model_validator
 
@@ -8,6 +8,7 @@ from akkudoktoreos.config.configabc import SettingsBaseModel
 from akkudoktoreos.prediction.prediction import get_prediction
 from akkudoktoreos.prediction.pvforecastabc import PVForecastProvider
 from akkudoktoreos.prediction.pvforecastimport import PVForecastImportCommonSettings
+from akkudoktoreos.prediction.pvforecastvrm import PVforecastVrmCommonSettings
 from akkudoktoreos.utils.docs import get_model_structure_from_examples
 
 prediction_eos = get_prediction()
@@ -134,9 +135,9 @@ class PVForecastCommonSettings(SettingsBaseModel):
         examples=["PVForecastAkkudoktor"],
     )
 
-    provider_settings: Optional[PVForecastImportCommonSettings] = Field(
-        default=None, description="Provider settings", examples=[None]
-    )
+    provider_settings: Optional[
+        Union[PVForecastImportCommonSettings, PVforecastVrmCommonSettings]
+    ] = Field(default=None, description="Provider settings", examples=[None])
 
     planes: Optional[list[PVForecastPlaneSetting]] = Field(
         default=None,

src/akkudoktoreos/prediction/pvforecastvrm.py

@@ -0,0 +1,110 @@
+"""Retrieves pvforecast data from VRM API."""
+
+from typing import Any, Optional, Union
+
+import requests
+from loguru import logger
+from pendulum import DateTime
+from pydantic import Field, ValidationError
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+from akkudoktoreos.prediction.pvforecastabc import PVForecastProvider
+from akkudoktoreos.utils.datetimeutil import to_datetime
+
+
+class VrmForecastRecords(PydanticBaseModel):
+    vrm_consumption_fc: list[tuple[int, float]]
+    solar_yield_forecast: list[tuple[int, float]]
+
+
+class VrmForecastResponse(PydanticBaseModel):
+    success: bool
+    records: VrmForecastRecords
+    totals: dict
+
+
+class PVforecastVrmCommonSettings(SettingsBaseModel):
+    """Common settings for VRM API."""
+
+    pvforecast_vrm_token: str = Field(
+        default="your-token", description="Token for Connecting VRM API", examples=["your-token"]
+    )
+    pvforecast_vrm_idsite: int = Field(
+        default=12345, description="VRM-Installation-ID", examples=[12345]
+    )
+
+
+class PVForecastVrm(PVForecastProvider):
+    """Fetch and process PV forecast data from VRM API."""
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the PV-Forecast-Provider."""
+        return "PVForecastVrm"
+
+    @classmethod
+    def _validate_data(cls, json_str: Union[bytes, Any]) -> VrmForecastResponse:
+        """Validate the VRM forecast response data against the expected schema."""
+        try:
+            return VrmForecastResponse.model_validate_json(json_str)
+        except ValidationError as e:
+            error_msg = "\n".join(
+                f"Field: {' -> '.join(str(x) for x in err['loc'])}\n"
+                f"Error: {err['msg']}\nType: {err['type']}"
+                for err in e.errors()
+            )
+            logger.error(f"VRM-API schema change:\n{error_msg}")
+            raise ValueError(error_msg)
+
+    def _request_forecast(self, start_ts: int, end_ts: int) -> VrmForecastResponse:
+        """Fetch forecast data from Victron VRM API."""
+        source = "https://vrmapi.victronenergy.com/v2/installations"
+        id_site = self.config.pvforecast.provider_settings.pvforecast_vrm_idsite
+        api_token = self.config.pvforecast.provider_settings.pvforecast_vrm_token
+        headers = {"X-Authorization": f"Token {api_token}", "Content-Type": "application/json"}
+        url = f"{source}/{id_site}/stats?type=forecast&start={start_ts}&end={end_ts}&interval=hours"
+        logger.debug(f"Requesting VRM forecast: {url}")
+
+        try:
+            response = requests.get(url, headers=headers, timeout=30)
+            response.raise_for_status()
+        except requests.RequestException as e:
+            logger.error(f"Failed to fetch pvforecast: {e}")
+            raise RuntimeError("Failed to fetch pvforecast from VRM API") from e
+
+        self.update_datetime = to_datetime(in_timezone=self.config.general.timezone)
+        return self._validate_data(response.content)
+
+    def _ts_to_datetime(self, timestamp: int) -> DateTime:
+        """Convert UNIX ms timestamp to timezone-aware datetime."""
+        return to_datetime(timestamp / 1000, in_timezone=self.config.general.timezone)
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Update forecast data in the PVForecastDataRecord format."""
+        start_date = self.start_datetime.start_of("day")
+        end_date = self.start_datetime.add(hours=self.config.prediction.hours)
+        start_ts = int(start_date.timestamp())
+        end_ts = int(end_date.timestamp())
+
+        logger.info(f"Updating PV forecast from VRM: {start_date} to {end_date}")
+        vrm_forecast_data = self._request_forecast(start_ts, end_ts)
+
+        pv_forecast = []
+        for timestamp, value in vrm_forecast_data.records.solar_yield_forecast:
+            date = self._ts_to_datetime(timestamp)
+            dc_power = round(value, 2)
+            ac_power = round(dc_power * 0.96, 2)
+            self.update_value(
+                date, {"pvforecast_dc_power": dc_power, "pvforecast_ac_power": ac_power}
+            )
+            pv_forecast.append((date, dc_power))
+
+        logger.debug(f"Updated pvforecast_dc_power with {len(pv_forecast)} entries.")
+        self.update_datetime = to_datetime(in_timezone=self.config.general.timezone)
+
+
+# Example usage
+if __name__ == "__main__":
+    pv = PVForecastVrm()
+    pv._update_data()

tests/test_loadvrm.py

@@ -0,0 +1,116 @@
+import json
+from unittest.mock import call, patch
+
+import pendulum
+import pytest
+import requests
+
+from akkudoktoreos.prediction.loadvrm import (
+    LoadVrm,
+    VrmForecastRecords,
+    VrmForecastResponse,
+)
+
+
+@pytest.fixture
+def load_vrm_instance(config_eos):
+    # Settings für LoadVrm
+    settings = {
+        "load": {
+            "provider": "LoadVrm",
+            "provider_settings": {
+                "load_vrm_token": "dummy-token",
+                "load_vrm_idsite": 12345
+            }
+        }
+    }
+    config_eos.merge_settings_from_dict(settings)
+    # start_datetime initialize
+    start_dt = pendulum.datetime(2025, 1, 1, tz='Europe/Berlin')
+
+    # create LoadVrm-instance with config and start_datetime
+    lv = LoadVrm(config=config_eos.load, start_datetime=start_dt)
+
+    return lv
+
+
+def mock_forecast_response():
+    """Return a fake VrmForecastResponse with sample data."""
+    return VrmForecastResponse(
+        success=True,
+        records=VrmForecastRecords(
+            vrm_consumption_fc=[
+                (pendulum.datetime(2025, 1, 1, 0, 0, tz='Europe/Berlin').int_timestamp * 1000, 100.5),
+                (pendulum.datetime(2025, 1, 1, 1, 0, tz='Europe/Berlin').int_timestamp * 1000, 101.2)
+            ],
+            solar_yield_forecast=[]
+        ),
+        totals={}
+    )
+
+
+def test_update_data_calls_update_value(load_vrm_instance):
+    with patch.object(load_vrm_instance, "_request_forecast", return_value=mock_forecast_response()), \
+         patch.object(LoadVrm, "update_value") as mock_update:
+
+        load_vrm_instance._update_data()
+
+        assert mock_update.call_count == 2
+
+        expected_calls = [
+            call(
+                pendulum.datetime(2025, 1, 1, 0, 0, 0, tz='Europe/Berlin'),
+                {"load_mean": 100.5, "load_std": 0.0, "load_mean_adjusted": 100.5}
+            ),
+            call(
+                pendulum.datetime(2025, 1, 1, 1, 0, 0, tz='Europe/Berlin'),
+                {"load_mean": 101.2, "load_std": 0.0, "load_mean_adjusted": 101.2}
+            ),
+        ]
+
+        mock_update.assert_has_calls(expected_calls, any_order=False)
+
+
+def test_validate_data_accepts_valid_json():
+    """Test that _validate_data doesn't raise with valid input."""
+    response = mock_forecast_response()
+    json_data = response.model_dump_json()
+
+    validated = LoadVrm._validate_data(json_data)
+    assert validated.success
+    assert len(validated.records.vrm_consumption_fc) == 2
+
+
+def test_validate_data_raises_on_invalid_json():
+    """_validate_data should raise ValueError on schema mismatch."""
+    invalid_json = json.dumps({"success": True})  # missing 'records'
+
+    with pytest.raises(ValueError) as exc_info:
+        LoadVrm._validate_data(invalid_json)
+
+    assert "Field:" in str(exc_info.value)
+    assert "records" in str(exc_info.value)
+
+
+def test_request_forecast_raises_on_http_error(load_vrm_instance):
+    with patch("requests.get", side_effect=requests.Timeout("Request timed out")) as mock_get:
+        with pytest.raises(RuntimeError) as exc_info:
+            load_vrm_instance._request_forecast(0, 1)
+
+        assert "Failed to fetch load forecast" in str(exc_info.value)
+        mock_get.assert_called_once()
+
+
+def test_update_data_does_nothing_on_empty_forecast(load_vrm_instance):
+    empty_response = VrmForecastResponse(
+        success=True,
+        records=VrmForecastRecords(vrm_consumption_fc=[], solar_yield_forecast=[]),
+        totals={}
+    )
+
+    with patch.object(load_vrm_instance, "_request_forecast", return_value=empty_response), \
+         patch.object(LoadVrm, "update_value") as mock_update:
+
+        load_vrm_instance._update_data()
+
+        mock_update.assert_not_called()

tests/test_prediction.py

@@ -6,6 +6,7 @@ from akkudoktoreos.prediction.elecpriceenergycharts import ElecPriceEnergyCharts
 from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
 from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktor
 from akkudoktoreos.prediction.loadimport import LoadImport
+from akkudoktoreos.prediction.loadvrm import LoadVrm
 from akkudoktoreos.prediction.prediction import (
     Prediction,
     PredictionCommonSettings,
@@ -13,6 +14,7 @@ from akkudoktoreos.prediction.prediction import (
 )
 from akkudoktoreos.prediction.pvforecastakkudoktor import PVForecastAkkudoktor
 from akkudoktoreos.prediction.pvforecastimport import PVForecastImport
+from akkudoktoreos.prediction.pvforecastvrm import PVForecastVrm
 from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
 from akkudoktoreos.prediction.weatherclearoutside import WeatherClearOutside
 from akkudoktoreos.prediction.weatherimport import WeatherImport
@@ -32,8 +34,10 @@ def forecast_providers():
         ElecPriceEnergyCharts(),
         ElecPriceImport(),
         LoadAkkudoktor(),
+        LoadVrm(),
         LoadImport(),
         PVForecastAkkudoktor(),
+        PVForecastVrm(),
         PVForecastImport(),
         WeatherBrightSky(),
         WeatherClearOutside(),
@@ -73,12 +77,14 @@ def test_provider_sequence(prediction):
     assert isinstance(prediction.providers[1], ElecPriceEnergyCharts)
     assert isinstance(prediction.providers[2], ElecPriceImport)
     assert isinstance(prediction.providers[3], LoadAkkudoktor)
-    assert isinstance(prediction.providers[4], LoadImport)
-    assert isinstance(prediction.providers[5], PVForecastAkkudoktor)
-    assert isinstance(prediction.providers[6], PVForecastImport)
-    assert isinstance(prediction.providers[7], WeatherBrightSky)
-    assert isinstance(prediction.providers[8], WeatherClearOutside)
-    assert isinstance(prediction.providers[9], WeatherImport)
+    assert isinstance(prediction.providers[4], LoadVrm)
+    assert isinstance(prediction.providers[5], LoadImport)
+    assert isinstance(prediction.providers[6], PVForecastAkkudoktor)
+    assert isinstance(prediction.providers[7], PVForecastVrm)
+    assert isinstance(prediction.providers[8], PVForecastImport)
+    assert isinstance(prediction.providers[9], WeatherBrightSky)
+    assert isinstance(prediction.providers[10], WeatherClearOutside)
+    assert isinstance(prediction.providers[11], WeatherImport)
 
 
 def test_provider_by_id(prediction, forecast_providers):
@@ -95,8 +101,10 @@ def test_prediction_repr(prediction):
     assert "ElecPriceEnergyCharts" in result
     assert "ElecPriceImport" in result
     assert "LoadAkkudoktor" in result
+    assert "LoadVrm" in result
     assert "LoadImport" in result
     assert "PVForecastAkkudoktor" in result
+    assert "PVForecastVrm" in result
     assert "PVForecastImport" in result
     assert "WeatherBrightSky" in result
     assert "WeatherClearOutside" in result

tests/test_pvforecastvrm.py

@@ -0,0 +1,116 @@
+import json
+from unittest.mock import call, patch
+
+import pendulum
+import pytest
+import requests
+
+from akkudoktoreos.prediction.pvforecastvrm import (
+    PVForecastVrm,
+    VrmForecastRecords,
+    VrmForecastResponse,
+)
+
+
+@pytest.fixture
+def pvforecast_instance(config_eos):
+    # Settings for PVForecastVrm
+    settings = {
+        "pvforecast": {
+            "provider": "PVForecastVrm",
+            "provider_settings": {
+                "pvforecast_vrm_token": "dummy-token",
+                "pvforecast_vrm_idsite": 12345
+            }
+        }
+    }
+    config_eos.merge_settings_from_dict(settings)
+    # start_datetime initialize
+    start_dt = pendulum.datetime(2025, 1, 1, tz='Europe/Berlin')
+
+    # create PVForecastVrm-instance with config and start_datetime
+    pv = PVForecastVrm(config=config_eos.load, start_datetime=start_dt)
+
+    return pv
+
+
+def mock_forecast_response():
+    """Return a fake VrmForecastResponse with sample data."""
+    return VrmForecastResponse(
+        success=True,
+        records=VrmForecastRecords(
+            vrm_consumption_fc=[],
+            solar_yield_forecast=[
+                (pendulum.datetime(2025, 1, 1, 0, 0, tz='Europe/Berlin').int_timestamp * 1000, 120.0),
+                (pendulum.datetime(2025, 1, 1, 1, 0, tz='Europe/Berlin').int_timestamp * 1000, 130.0)
+            ]
+        ),
+        totals={}
+    )
+
+
+def test_update_data_updates_dc_and_ac_power(pvforecast_instance):
+    with patch.object(pvforecast_instance, "_request_forecast", return_value=mock_forecast_response()), \
+         patch.object(PVForecastVrm, "update_value") as mock_update:
+
+        pvforecast_instance._update_data()
+
+        # Check that update_value was called correctly
+        assert mock_update.call_count == 2
+
+        expected_calls = [
+            call(
+                pendulum.datetime(2025, 1, 1, 0, 0, tz='Europe/Berlin'),
+                {"pvforecast_dc_power": 120.0, "pvforecast_ac_power": 115.2}
+            ),
+            call(
+                pendulum.datetime(2025, 1, 1, 1, 0, tz='Europe/Berlin'),
+                {"pvforecast_dc_power": 130.0, "pvforecast_ac_power": 124.8}
+            ),
+        ]
+
+        mock_update.assert_has_calls(expected_calls, any_order=False)
+
+
+def test_validate_data_accepts_valid_json():
+    """Test that _validate_data doesn't raise with valid input."""
+    response = mock_forecast_response()
+    json_data = response.model_dump_json()
+
+    validated = PVForecastVrm._validate_data(json_data)
+    assert validated.success
+    assert len(validated.records.solar_yield_forecast) == 2
+
+
+def test_validate_data_invalid_json_raises():
+    """Test that _validate_data raises with invalid input."""
+    invalid_json = json.dumps({"success": True})  # missing 'records'
+    with pytest.raises(ValueError) as exc_info:
+        PVForecastVrm._validate_data(invalid_json)
+    assert "Field:" in str(exc_info.value)
+    assert "records" in str(exc_info.value)
+
+
+def test_request_forecast_raises_on_http_error(pvforecast_instance):
+    """Ensure _request_forecast raises RuntimeError on HTTP failure."""
+    with patch("requests.get", side_effect=requests.Timeout("Request timed out")) as mock_get:
+        with pytest.raises(RuntimeError) as exc_info:
+            pvforecast_instance._request_forecast(0, 1)
+
+        assert "Failed to fetch pvforecast" in str(exc_info.value)
+        mock_get.assert_called_once()
+
+
+def test_update_data_skips_on_empty_forecast(pvforecast_instance):
+    """Ensure no update_value calls are made if no forecast data is present."""
+    empty_response = VrmForecastResponse(
+        success=True,
+        records=VrmForecastRecords(vrm_consumption_fc=[], solar_yield_forecast=[]),
+        totals={}
+    )
+
+    with patch.object(pvforecast_instance, "_request_forecast", return_value=empty_response), \
+         patch.object(PVForecastVrm, "update_value") as mock_update:
+
+        pvforecast_instance._update_data()
+        mock_update.assert_not_called()