mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2026-08-15 05:06:10 +00:00
Rename settings variables (remove prefixes)
This commit is contained in:
+69
-69
@@ -55,8 +55,8 @@ General configuration to set directories of cache and output files.
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| logging_level_default | `EOS_LOGGING__LOGGING_LEVEL_DEFAULT` | `Optional[str]` | `rw` | `None` | EOS default logging level. |
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| logging_level_root | | `str` | `ro` | `N/A` | Root logger logging level. |
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| level | `EOS_LOGGING__LEVEL` | `Optional[str]` | `rw` | `None` | EOS default logging level. |
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| root_level | | `str` | `ro` | `N/A` | Root logger logging level. |
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:::
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### Example Input
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@@ -66,7 +66,7 @@ General configuration to set directories of cache and output files.
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{
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"logging": {
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"logging_level_default": "INFO"
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"level": "INFO"
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}
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}
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```
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@@ -78,8 +78,8 @@ General configuration to set directories of cache and output files.
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{
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"logging": {
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"logging_level_default": "INFO",
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"logging_level_root": "INFO"
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"level": "INFO",
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"root_level": "INFO"
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}
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}
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```
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@@ -167,7 +167,7 @@ General configuration to set directories of cache and output files.
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| device_id | `str` | `rw` | `required` | ID of inverter |
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| hours | `Optional[int]` | `rw` | `None` | Number of prediction hours. Defaults to global config prediction hours. |
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| max_power_wh | `float` | `rw` | `required` | - |
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| battery | `Optional[str]` | `rw` | `None` | ID of battery |
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| battery_id | `Optional[str]` | `rw` | `None` | ID of battery |
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:::
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#### Example Input/Output
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@@ -182,7 +182,7 @@ General configuration to set directories of cache and output files.
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"device_id": "inverter1",
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"hours": null,
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"max_power_wh": 10000.0,
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"battery": null
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"battery_id": null
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}
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]
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}
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@@ -240,11 +240,11 @@ General configuration to set directories of cache and output files.
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| measurement_load0_name | `EOS_MEASUREMENT__MEASUREMENT_LOAD0_NAME` | `Optional[str]` | `rw` | `None` | Name of the load0 source |
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| measurement_load1_name | `EOS_MEASUREMENT__MEASUREMENT_LOAD1_NAME` | `Optional[str]` | `rw` | `None` | Name of the load1 source |
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| measurement_load2_name | `EOS_MEASUREMENT__MEASUREMENT_LOAD2_NAME` | `Optional[str]` | `rw` | `None` | Name of the load2 source |
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| measurement_load3_name | `EOS_MEASUREMENT__MEASUREMENT_LOAD3_NAME` | `Optional[str]` | `rw` | `None` | Name of the load3 source |
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| measurement_load4_name | `EOS_MEASUREMENT__MEASUREMENT_LOAD4_NAME` | `Optional[str]` | `rw` | `None` | Name of the load4 source |
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| load0_name | `EOS_MEASUREMENT__LOAD0_NAME` | `Optional[str]` | `rw` | `None` | Name of the load0 source |
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| load1_name | `EOS_MEASUREMENT__LOAD1_NAME` | `Optional[str]` | `rw` | `None` | Name of the load1 source |
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| load2_name | `EOS_MEASUREMENT__LOAD2_NAME` | `Optional[str]` | `rw` | `None` | Name of the load2 source |
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| load3_name | `EOS_MEASUREMENT__LOAD3_NAME` | `Optional[str]` | `rw` | `None` | Name of the load3 source |
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| load4_name | `EOS_MEASUREMENT__LOAD4_NAME` | `Optional[str]` | `rw` | `None` | Name of the load4 source |
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:::
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### Example Input/Output
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@@ -254,11 +254,11 @@ General configuration to set directories of cache and output files.
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{
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"measurement": {
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"measurement_load0_name": "Household",
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"measurement_load1_name": null,
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"measurement_load2_name": null,
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"measurement_load3_name": null,
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"measurement_load4_name": null
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"load0_name": "Household",
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"load1_name": null,
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"load2_name": null,
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"load3_name": null,
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"load4_name": null
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}
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}
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```
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@@ -266,7 +266,7 @@ General configuration to set directories of cache and output files.
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## General Optimization Configuration
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Attributes:
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optimization_hours (int): Number of hours for optimizations.
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hours (int): Number of hours for optimizations.
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:::{table} optimization
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:widths: 10 20 10 5 5 30
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@@ -274,9 +274,9 @@ Attributes:
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| optimization_hours | `EOS_OPTIMIZATION__OPTIMIZATION_HOURS` | `Optional[int]` | `rw` | `48` | Number of hours into the future for optimizations. |
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| optimization_penalty | `EOS_OPTIMIZATION__OPTIMIZATION_PENALTY` | `Optional[int]` | `rw` | `10` | Penalty factor used in optimization. |
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| optimization_ev_available_charge_rates_percent | `EOS_OPTIMIZATION__OPTIMIZATION_EV_AVAILABLE_CHARGE_RATES_PERCENT` | `Optional[List[float]]` | `rw` | `[0.0, 0.375, 0.5, 0.625, 0.75, 0.875, 1.0]` | Charge rates available for the EV in percent of maximum charge. |
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| hours | `EOS_OPTIMIZATION__HOURS` | `Optional[int]` | `rw` | `48` | Number of hours into the future for optimizations. |
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| penalty | `EOS_OPTIMIZATION__PENALTY` | `Optional[int]` | `rw` | `10` | Penalty factor used in optimization. |
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| ev_available_charge_rates_percent | `EOS_OPTIMIZATION__EV_AVAILABLE_CHARGE_RATES_PERCENT` | `Optional[List[float]]` | `rw` | `[0.0, 0.375, 0.5, 0.625, 0.75, 0.875, 1.0]` | Charge rates available for the EV in percent of maximum charge. |
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:::
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### Example Input/Output
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@@ -286,9 +286,9 @@ Attributes:
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{
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"optimization": {
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"optimization_hours": 48,
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"optimization_penalty": 10,
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"optimization_ev_available_charge_rates_percent": [
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"hours": 48,
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"penalty": 10,
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"ev_available_charge_rates_percent": [
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0.0,
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0.375,
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0.5,
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@@ -309,9 +309,9 @@ Validators ensure each parameter is within a specified range. A computed propert
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determines the time zone based on latitude and longitude.
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Attributes:
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prediction_hours (Optional[int]): Number of hours into the future for predictions.
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hours (Optional[int]): Number of hours into the future for predictions.
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Must be non-negative.
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prediction_historic_hours (Optional[int]): Number of hours into the past for historical data.
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historic_hours (Optional[int]): Number of hours into the past for historical data.
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Must be non-negative.
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latitude (Optional[float]): Latitude in degrees, must be between -90 and 90.
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longitude (Optional[float]): Longitude in degrees, must be between -180 and 180.
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@@ -321,8 +321,8 @@ Properties:
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and longitude.
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Validators:
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validate_prediction_hours (int): Ensures `prediction_hours` is a non-negative integer.
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validate_prediction_historic_hours (int): Ensures `prediction_historic_hours` is a non-negative integer.
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validate_hours (int): Ensures `hours` is a non-negative integer.
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validate_historic_hours (int): Ensures `historic_hours` is a non-negative integer.
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validate_latitude (float): Ensures `latitude` is within the range -90 to 90.
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validate_longitude (float): Ensures `longitude` is within the range -180 to 180.
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@@ -332,8 +332,8 @@ Validators:
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| prediction_hours | `EOS_PREDICTION__PREDICTION_HOURS` | `Optional[int]` | `rw` | `48` | Number of hours into the future for predictions |
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| prediction_historic_hours | `EOS_PREDICTION__PREDICTION_HISTORIC_HOURS` | `Optional[int]` | `rw` | `48` | Number of hours into the past for historical predictions data |
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| hours | `EOS_PREDICTION__HOURS` | `Optional[int]` | `rw` | `48` | Number of hours into the future for predictions |
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| historic_hours | `EOS_PREDICTION__HISTORIC_HOURS` | `Optional[int]` | `rw` | `48` | Number of hours into the past for historical predictions data |
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| latitude | `EOS_PREDICTION__LATITUDE` | `Optional[float]` | `rw` | `52.52` | Latitude in decimal degrees, between -90 and 90, north is positive (ISO 19115) (°) |
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| longitude | `EOS_PREDICTION__LONGITUDE` | `Optional[float]` | `rw` | `13.405` | Longitude in decimal degrees, within -180 to 180 (°) |
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| timezone | | `Optional[str]` | `ro` | `N/A` | Compute timezone based on latitude and longitude. |
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@@ -346,8 +346,8 @@ Validators:
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{
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"prediction": {
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"prediction_hours": 48,
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"prediction_historic_hours": 48,
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"hours": 48,
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"historic_hours": 48,
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"latitude": 52.52,
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"longitude": 13.405
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}
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@@ -361,8 +361,8 @@ Validators:
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{
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"prediction": {
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"prediction_hours": 48,
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"prediction_historic_hours": 48,
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"hours": 48,
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"historic_hours": 48,
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"latitude": 52.52,
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"longitude": 13.405,
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"timezone": "Europe/Berlin"
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@@ -378,8 +378,8 @@ Validators:
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| elecprice_provider | `EOS_ELECPRICE__ELECPRICE_PROVIDER` | `Optional[str]` | `rw` | `None` | Electricity price provider id of provider to be used. |
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| elecprice_charges_kwh | `EOS_ELECPRICE__ELECPRICE_CHARGES_KWH` | `Optional[float]` | `rw` | `None` | Electricity price charges (€/kWh). |
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| provider | `EOS_ELECPRICE__PROVIDER` | `Optional[str]` | `rw` | `None` | Electricity price provider id of provider to be used. |
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| charges_kwh | `EOS_ELECPRICE__CHARGES_KWH` | `Optional[float]` | `rw` | `None` | Electricity price charges (€/kWh). |
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| provider_settings | `EOS_ELECPRICE__PROVIDER_SETTINGS` | `Optional[akkudoktoreos.prediction.elecpriceimport.ElecPriceImportCommonSettings]` | `rw` | `None` | Provider settings |
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:::
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@@ -390,8 +390,8 @@ Validators:
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{
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"elecprice": {
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"elecprice_provider": "ElecPriceAkkudoktor",
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"elecprice_charges_kwh": 0.21,
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"provider": "ElecPriceAkkudoktor",
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"charges_kwh": 0.21,
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"provider_settings": null
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}
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}
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@@ -405,8 +405,8 @@ Validators:
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| Name | Type | Read-Only | Default | Description |
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| ---- | ---- | --------- | ------- | ----------- |
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| elecpriceimport_file_path | `Union[str, pathlib.Path, NoneType]` | `rw` | `None` | Path to the file to import elecprice data from. |
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| elecpriceimport_json | `Optional[str]` | `rw` | `None` | JSON string, dictionary of electricity price forecast value lists. |
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| import_file_path | `Union[str, pathlib.Path, NoneType]` | `rw` | `None` | Path to the file to import elecprice data from. |
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| import_json | `Optional[str]` | `rw` | `None` | JSON string, dictionary of electricity price forecast value lists. |
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:::
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#### Example Input/Output
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@@ -417,8 +417,8 @@ Validators:
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{
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"elecprice": {
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"provider_settings": {
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"elecpriceimport_file_path": null,
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"elecpriceimport_json": "{\"elecprice_marketprice_wh\": [0.0003384, 0.0003318, 0.0003284]}"
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"import_file_path": null,
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"import_json": "{\"elecprice_marketprice_wh\": [0.0003384, 0.0003318, 0.0003284]}"
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}
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}
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}
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@@ -432,7 +432,7 @@ Validators:
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| load_provider | `EOS_LOAD__LOAD_PROVIDER` | `Optional[str]` | `rw` | `None` | Load provider id of provider to be used. |
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| provider | `EOS_LOAD__PROVIDER` | `Optional[str]` | `rw` | `None` | Load provider id of provider to be used. |
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| provider_settings | `EOS_LOAD__PROVIDER_SETTINGS` | `Union[akkudoktoreos.prediction.loadakkudoktor.LoadAkkudoktorCommonSettings, akkudoktoreos.prediction.loadimport.LoadImportCommonSettings, NoneType]` | `rw` | `None` | Provider settings |
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:::
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@@ -443,7 +443,7 @@ Validators:
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{
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"load": {
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"load_provider": "LoadAkkudoktor",
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"provider": "LoadAkkudoktor",
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"provider_settings": null
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}
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}
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@@ -457,8 +457,8 @@ Validators:
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| Name | Type | Read-Only | Default | Description |
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| ---- | ---- | --------- | ------- | ----------- |
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| load_import_file_path | `Union[str, pathlib.Path, NoneType]` | `rw` | `None` | Path to the file to import load data from. |
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| load_import_json | `Optional[str]` | `rw` | `None` | JSON string, dictionary of load forecast value lists. |
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| import_file_path | `Union[str, pathlib.Path, NoneType]` | `rw` | `None` | Path to the file to import load data from. |
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| import_json | `Optional[str]` | `rw` | `None` | JSON string, dictionary of load forecast value lists. |
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:::
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#### Example Input/Output
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@@ -469,8 +469,8 @@ Validators:
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{
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"load": {
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"provider_settings": {
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"load_import_file_path": null,
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"load_import_json": "{\"load0_mean\": [676.71, 876.19, 527.13]}"
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"import_file_path": null,
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"import_json": "{\"load0_mean\": [676.71, 876.19, 527.13]}"
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}
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}
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}
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@@ -509,7 +509,7 @@ Validators:
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| pvforecast_provider | `EOS_PVFORECAST__PVFORECAST_PROVIDER` | `Optional[str]` | `rw` | `None` | PVForecast provider id of provider to be used. |
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| provider | `EOS_PVFORECAST__PROVIDER` | `Optional[str]` | `rw` | `None` | PVForecast provider id of provider to be used. |
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| pvforecast0_surface_tilt | `EOS_PVFORECAST__PVFORECAST0_SURFACE_TILT` | `Optional[float]` | `rw` | `None` | Tilt angle from horizontal plane. Ignored for two-axis tracking. |
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| pvforecast0_surface_azimuth | `EOS_PVFORECAST__PVFORECAST0_SURFACE_AZIMUTH` | `Optional[float]` | `rw` | `None` | Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270). |
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| pvforecast0_userhorizon | `EOS_PVFORECAST__PVFORECAST0_USERHORIZON` | `Optional[List[float]]` | `rw` | `None` | Elevation of horizon in degrees, at equally spaced azimuth clockwise from north. |
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@@ -622,7 +622,7 @@ Validators:
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{
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"pvforecast": {
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"pvforecast_provider": "PVForecastAkkudoktor",
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"provider": "PVForecastAkkudoktor",
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"pvforecast0_surface_tilt": 10.0,
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"pvforecast0_surface_azimuth": 10.0,
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"pvforecast0_userhorizon": [
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@@ -739,7 +739,7 @@ Validators:
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||||
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{
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"pvforecast": {
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"pvforecast_provider": "PVForecastAkkudoktor",
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"provider": "PVForecastAkkudoktor",
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"pvforecast0_surface_tilt": 10.0,
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"pvforecast0_surface_azimuth": 10.0,
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"pvforecast0_userhorizon": [
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@@ -916,7 +916,7 @@ Validators:
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||||
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| weather_provider | `EOS_WEATHER__WEATHER_PROVIDER` | `Optional[str]` | `rw` | `None` | Weather provider id of provider to be used. |
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| provider | `EOS_WEATHER__PROVIDER` | `Optional[str]` | `rw` | `None` | Weather provider id of provider to be used. |
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| provider_settings | `EOS_WEATHER__PROVIDER_SETTINGS` | `Optional[akkudoktoreos.prediction.weatherimport.WeatherImportCommonSettings]` | `rw` | `None` | Provider settings |
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:::
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@@ -927,7 +927,7 @@ Validators:
|
||||
|
||||
{
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||||
"weather": {
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"weather_provider": "WeatherImport",
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"provider": "WeatherImport",
|
||||
"provider_settings": null
|
||||
}
|
||||
}
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@@ -941,8 +941,8 @@ Validators:
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||||
|
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| Name | Type | Read-Only | Default | Description |
|
||||
| ---- | ---- | --------- | ------- | ----------- |
|
||||
| weatherimport_file_path | `Union[str, pathlib.Path, NoneType]` | `rw` | `None` | Path to the file to import weather data from. |
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| weatherimport_json | `Optional[str]` | `rw` | `None` | JSON string, dictionary of weather forecast value lists. |
|
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| import_file_path | `Union[str, pathlib.Path, NoneType]` | `rw` | `None` | Path to the file to import weather data from. |
|
||||
| import_json | `Optional[str]` | `rw` | `None` | JSON string, dictionary of weather forecast value lists. |
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:::
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#### Example Input/Output
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@@ -953,8 +953,8 @@ Validators:
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||||
{
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||||
"weather": {
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||||
"provider_settings": {
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||||
"weatherimport_file_path": null,
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"weatherimport_json": "{\"weather_temp_air\": [18.3, 17.8, 16.9]}"
|
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"import_file_path": null,
|
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"import_json": "{\"weather_temp_air\": [18.3, 17.8, 16.9]}"
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}
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||||
}
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}
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@@ -971,12 +971,12 @@ Attributes:
|
||||
|
||||
| Name | Environment Variable | Type | Read-Only | Default | Description |
|
||||
| ---- | -------------------- | ---- | --------- | ------- | ----------- |
|
||||
| server_eos_host | `EOS_SERVER__SERVER_EOS_HOST` | `Optional[pydantic.networks.IPvAnyAddress]` | `rw` | `0.0.0.0` | EOS server IP address. |
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||||
| server_eos_port | `EOS_SERVER__SERVER_EOS_PORT` | `Optional[int]` | `rw` | `8503` | EOS server IP port number. |
|
||||
| server_eos_verbose | `EOS_SERVER__SERVER_EOS_VERBOSE` | `Optional[bool]` | `rw` | `False` | Enable debug output |
|
||||
| server_eos_startup_eosdash | `EOS_SERVER__SERVER_EOS_STARTUP_EOSDASH` | `Optional[bool]` | `rw` | `True` | EOS server to start EOSdash server. |
|
||||
| server_eosdash_host | `EOS_SERVER__SERVER_EOSDASH_HOST` | `Optional[pydantic.networks.IPvAnyAddress]` | `rw` | `0.0.0.0` | EOSdash server IP address. |
|
||||
| server_eosdash_port | `EOS_SERVER__SERVER_EOSDASH_PORT` | `Optional[int]` | `rw` | `8504` | EOSdash server IP port number. |
|
||||
| host | `EOS_SERVER__HOST` | `Optional[pydantic.networks.IPvAnyAddress]` | `rw` | `0.0.0.0` | EOS server IP address. |
|
||||
| port | `EOS_SERVER__PORT` | `Optional[int]` | `rw` | `8503` | EOS server IP port number. |
|
||||
| verbose | `EOS_SERVER__VERBOSE` | `Optional[bool]` | `rw` | `False` | Enable debug output |
|
||||
| startup_eosdash | `EOS_SERVER__STARTUP_EOSDASH` | `Optional[bool]` | `rw` | `True` | EOS server to start EOSdash server. |
|
||||
| eosdash_host | `EOS_SERVER__EOSDASH_HOST` | `Optional[pydantic.networks.IPvAnyAddress]` | `rw` | `0.0.0.0` | EOSdash server IP address. |
|
||||
| eosdash_port | `EOS_SERVER__EOSDASH_PORT` | `Optional[int]` | `rw` | `8504` | EOSdash server IP port number. |
|
||||
:::
|
||||
|
||||
### Example Input/Output
|
||||
@@ -986,12 +986,12 @@ Attributes:
|
||||
|
||||
{
|
||||
"server": {
|
||||
"server_eos_host": "0.0.0.0",
|
||||
"server_eos_port": 8503,
|
||||
"server_eos_verbose": false,
|
||||
"server_eos_startup_eosdash": true,
|
||||
"server_eosdash_host": "0.0.0.0",
|
||||
"server_eosdash_port": 8504
|
||||
"host": "0.0.0.0",
|
||||
"port": 8503,
|
||||
"verbose": false,
|
||||
"startup_eosdash": true,
|
||||
"eosdash_host": "0.0.0.0",
|
||||
"eosdash_port": 8504
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
@@ -63,7 +63,7 @@ Args:
|
||||
year_energy (float): Yearly energy consumption in Wh.
|
||||
|
||||
Note:
|
||||
Set LoadAkkudoktor as load_provider, then update data with
|
||||
Set LoadAkkudoktor as provider, then update data with
|
||||
'/v1/prediction/update'
|
||||
and then request data with
|
||||
'/v1/prediction/list?key=load_mean' instead.
|
||||
@@ -121,7 +121,7 @@ If no forecast values are available the missing ones at the start of the series
|
||||
filled with the first available forecast value.
|
||||
|
||||
Note:
|
||||
Set PVForecastAkkudoktor as pvforecast_provider, then update data with
|
||||
Set PVForecastAkkudoktor as provider, then update data with
|
||||
'/v1/prediction/update'
|
||||
and then request data with
|
||||
'/v1/prediction/list?key=pvforecast_ac_power' and
|
||||
@@ -151,7 +151,7 @@ Note:
|
||||
Electricity price charges are added.
|
||||
|
||||
Note:
|
||||
Set ElecPriceAkkudoktor as elecprice_provider, then update data with
|
||||
Set ElecPriceAkkudoktor as provider, then update data with
|
||||
'/v1/prediction/update'
|
||||
and then request data with
|
||||
'/v1/prediction/list?key=elecprice_marketprice_wh' or
|
||||
|
||||
@@ -55,7 +55,6 @@ following special environment variables:
|
||||
- `EOS_CONFIG_DIR`: The directory to search for an EOS configuration file.
|
||||
- `EOS_DIR`: The directory used by EOS for data, which will also be searched for an EOS
|
||||
configuration file.
|
||||
- `EOS_LOGGING_LEVEL`: The logging level to use in EOS.
|
||||
|
||||
### EOS Configuration File
|
||||
|
||||
|
||||
@@ -56,21 +56,21 @@ A JSON string created from a [pandas](https://pandas.pydata.org/docs/index.html)
|
||||
The EOS measurement store provides for storing meter readings of loads. There are currently five loads
|
||||
foreseen. The associated `measurement key`s are:
|
||||
|
||||
- `measurement_load0_mr`: Load0 meter reading [kWh]
|
||||
- `measurement_load1_mr`: Load1 meter reading [kWh]
|
||||
- `measurement_load2_mr`: Load2 meter reading [kWh]
|
||||
- `measurement_load3_mr`: Load3 meter reading [kWh]
|
||||
- `measurement_load4_mr`: Load4 meter reading [kWh]
|
||||
- `load0_mr`: Load0 meter reading [kWh]
|
||||
- `load1_mr`: Load1 meter reading [kWh]
|
||||
- `load2_mr`: Load2 meter reading [kWh]
|
||||
- `load3_mr`: Load3 meter reading [kWh]
|
||||
- `load4_mr`: Load4 meter reading [kWh]
|
||||
|
||||
For ease of use, you can assign descriptive names to the `measurement key`s to represent your
|
||||
system's load sources. Use the following `configuration options` to set these names
|
||||
(e.g., 'Dish Washer', 'Heat Pump'):
|
||||
|
||||
- `measurement_load0_name`: Name of the load0 source
|
||||
- `measurement_load1_name`: Name of the load1 source
|
||||
- `measurement_load2_name`: Name of the load2 source
|
||||
- `measurement_load3_name`: Name of the load3 source
|
||||
- `measurement_load4_name`: Name of the load4 source
|
||||
- `load0_name`: Name of the load0 source
|
||||
- `load1_name`: Name of the load1 source
|
||||
- `load2_name`: Name of the load2 source
|
||||
- `load3_name`: Name of the load3 source
|
||||
- `load4_name`: Name of the load4 source
|
||||
|
||||
Load measurements can be stored for any datetime. The values between different meter readings are
|
||||
linearly approximated. Since optimization occurs on the hour, storing values between hours is
|
||||
@@ -84,8 +84,8 @@ for specified intervals, usually one hour. This aggregated data can be used for
|
||||
The EOS measurement store also allows for the storage of meter readings for grid import and export.
|
||||
The associated `measurement key`s are:
|
||||
|
||||
- `measurement_grid_export_mr`: Export to grid meter reading [kWh]
|
||||
- `measurement_grid_import_mr`: Import from grid meter reading [kWh]
|
||||
- `grid_export_mr`: Export to grid meter reading [kWh]
|
||||
- `grid_import_mr`: Import from grid meter reading [kWh]
|
||||
|
||||
:::{admonition} Todo
|
||||
:class: note
|
||||
|
||||
@@ -22,7 +22,7 @@ Most predictions can be sourced from various providers. The specific provider to
|
||||
in the EOS configuration. For example:
|
||||
|
||||
```python
|
||||
weather_provider = "ClearOutside"
|
||||
provider = "ClearOutside"
|
||||
```
|
||||
|
||||
Some providers offer multiple prediction keys. For instance, a weather provider might provide data
|
||||
@@ -71,7 +71,7 @@ predictions are adjusted by real data from your system's measurements if given t
|
||||
|
||||
For example, the load prediction provider `LoadAkkudoktor` takes generic load data assembled by
|
||||
Akkudoktor.net, maps that to the yearly energy consumption given in the configuration option
|
||||
`loadakkudoktor_year_energy`, and finally adjusts the predicted load by the `measurement_loads`
|
||||
`loadakkudoktor_year_energy`, and finally adjusts the predicted load by the `loads`
|
||||
of your system.
|
||||
|
||||
## Prediction Updates
|
||||
@@ -107,26 +107,26 @@ Prediction keys:
|
||||
|
||||
Configuration options:
|
||||
|
||||
- `elecprice_provider`: Electricity price provider id of provider to be used.
|
||||
- `provider`: Electricity price provider id of provider to be used.
|
||||
|
||||
- `ElecPriceAkkudoktor`: Retrieves from Akkudoktor.net.
|
||||
- `ElecPriceImport`: Imports from a file or JSON string.
|
||||
- `Akkudoktor`: Retrieves from Akkudoktor.net.
|
||||
- `Import`: Imports from a file or JSON string.
|
||||
|
||||
- `elecprice_charges_kwh`: Electricity price charges (€/kWh).
|
||||
- `elecpriceimport_file_path`: Path to the file to import electricity price forecast data from.
|
||||
- `elecpriceimport_json`: JSON string, dictionary of electricity price forecast value lists.
|
||||
- `charges_kwh`: Electricity price charges (€/kWh).
|
||||
- `import_file_path`: Path to the file to import electricity price forecast data from.
|
||||
- `import_json`: JSON string, dictionary of electricity price forecast value lists.
|
||||
|
||||
### ElecPriceAkkudoktor Provider
|
||||
### Akkudoktor Provider
|
||||
|
||||
The `ElecPriceAkkudoktor` provider retrieves electricity prices directly from **Akkudoktor.net**,
|
||||
The `Akkudoktor` provider retrieves electricity prices directly from **Akkudoktor.net**,
|
||||
which supplies price data for the next 24 hours. For periods beyond 24 hours, the provider generates
|
||||
prices by extrapolating historical price data combined with the most recent actual prices obtained
|
||||
from Akkudoktor.net. Electricity price charges given in the `elecprice_charges_kwh` configuration
|
||||
from Akkudoktor.net. Electricity price charges given in the `charges_kwh` configuration
|
||||
option are added.
|
||||
|
||||
### ElecPriceImport Provider
|
||||
### Import Provider
|
||||
|
||||
The `ElecPriceImport` provider is designed to import electricity prices from a file or a JSON
|
||||
The `Import` provider is designed to import electricity prices from a file or a JSON
|
||||
string. An external entity should update the file or JSON string whenever new prediction data
|
||||
becomes available.
|
||||
|
||||
@@ -136,7 +136,7 @@ The prediction key for the electricity price forecast data is:
|
||||
|
||||
The electricity proce forecast data must be provided in one of the formats described in
|
||||
<project:#prediction-import-providers>. The data source must be given in the
|
||||
`elecpriceimport_file_path` or `elecpriceimport_json` configuration option.
|
||||
`import_file_path` or `import_json` configuration option.
|
||||
|
||||
## Load Prediction
|
||||
|
||||
@@ -148,7 +148,7 @@ Prediction keys:
|
||||
|
||||
Configuration options:
|
||||
|
||||
- `load_provider`: Load provider id of provider to be used.
|
||||
- `provider`: Load provider id of provider to be used.
|
||||
|
||||
- `LoadAkkudoktor`: Retrieves from local database.
|
||||
- `LoadImport`: Imports from a file or JSON string.
|
||||
@@ -183,12 +183,12 @@ or `loadimport_json` configuration option.
|
||||
|
||||
Prediction keys:
|
||||
|
||||
- `pvforecast_ac_power`: Total DC power (W).
|
||||
- `pvforecast_dc_power`: Total AC power (W).
|
||||
- `ac_power`: Total DC power (W).
|
||||
- `dc_power`: Total AC power (W).
|
||||
|
||||
Configuration options:
|
||||
|
||||
- `pvforecast_provider`: PVForecast provider id of provider to be used.
|
||||
- `provider`: PVForecast provider id of provider to be used.
|
||||
|
||||
- `PVForecastAkkudoktor`: Retrieves from Akkudoktor.net.
|
||||
- `PVForecastImport`: Imports from a file or JSON string.
|
||||
@@ -299,7 +299,7 @@ Example:
|
||||
{
|
||||
"latitude": 50.1234,
|
||||
"longitude": 9.7654,
|
||||
"pvforecast_provider": "PVForecastAkkudoktor",
|
||||
"provider": "PVForecastAkkudoktor",
|
||||
"pvforecast0_peakpower": 5.0,
|
||||
"pvforecast0_surface_azimuth": -10,
|
||||
"pvforecast0_surface_tilt": 7,
|
||||
@@ -332,8 +332,8 @@ 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).
|
||||
- `ac_power`: Total DC power (W).
|
||||
- `dc_power`: Total AC power (W).
|
||||
|
||||
The PV forecast data must be provided in one of the formats described in
|
||||
<project:#prediction-import-providers>. The data source must be given in the
|
||||
@@ -368,14 +368,14 @@ Prediction keys:
|
||||
|
||||
Configuration options:
|
||||
|
||||
- `weather_provider`: Load provider id of provider to be used.
|
||||
- `provider`: Load provider id of provider to be used.
|
||||
|
||||
- `BrightSky`: Retrieves from https://api.brightsky.dev.
|
||||
- `ClearOutside`: Retrieves from https://clearoutside.com/forecast.
|
||||
- `LoadImport`: Imports from a file or JSON string.
|
||||
|
||||
- `weatherimport_file_path`: Path to the file to import weatherforecast data from.
|
||||
- `weatherimport_json`: JSON string, dictionary of weather forecast value lists.
|
||||
- `import_file_path`: Path to the file to import weatherforecast data from.
|
||||
- `import_json`: JSON string, dictionary of weather forecast value lists.
|
||||
|
||||
### BrightSky Provider
|
||||
|
||||
@@ -459,4 +459,4 @@ The prediction keys for the PV forecast data are:
|
||||
|
||||
The PV forecast data must be provided in one of the formats described in
|
||||
<project:#prediction-import-providers>. The data source must be given in the
|
||||
`weatherimport_file_path` or `pvforecastimport_json` configuration option.
|
||||
`import_file_path` or `pvforecastimport_json` configuration option.
|
||||
|
||||
Reference in New Issue
Block a user