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Fix2 electricity price prediction. (#296)
Normalize electricity price prediction to €/Wh. Provide electricity price prediction by €/kWh for convenience. Allow to configure electricity price charges by €/kWh. Also added error page to fastapi rest server to get rid of annoying unrelated fault messages during testing. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
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@@ -9,6 +9,6 @@ class ElecPriceCommonSettings(SettingsBaseModel):
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elecprice_provider: Optional[str] = Field(
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default=None, description="Electricity price provider id of provider to be used."
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)
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elecprice_charges: Optional[float] = Field(
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elecprice_charges_kwh: Optional[float] = Field(
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default=None, ge=0, description="Electricity price charges (€/kWh)."
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)
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@@ -7,7 +7,7 @@ Notes:
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from abc import abstractmethod
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from typing import List, Optional
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from pydantic import Field
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from pydantic import Field, computed_field
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from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
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from akkudoktoreos.utils.logutil import get_logger
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@@ -23,10 +23,22 @@ class ElecPriceDataRecord(PredictionRecord):
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"""
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elecprice_marketprice: Optional[float] = Field(
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None, description="Electricity market price (€/KWh)"
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elecprice_marketprice_wh: Optional[float] = Field(
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None, description="Electricity market price per Wh (€/Wh)"
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)
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# Computed fields
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@computed_field # type: ignore[prop-decorator]
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@property
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def elecprice_marketprice_kwh(self) -> Optional[float]:
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"""Electricity market price per kWh (€/kWh).
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Convenience attribute calculated from `elecprice_marketprice_wh`.
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"""
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if self.elecprice_marketprice_wh is None:
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return None
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return self.elecprice_marketprice_wh * 1000.0
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class ElecPriceProvider(PredictionProvider):
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"""Abstract base class for electricity price providers.
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@@ -134,7 +134,7 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
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prices_of_hour = self.elecprice_8days[hour]
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if np.isnan(prices_of_hour).all():
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# No prediction prices available for this hour - use mean value of all prices
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price_weighted_mean = np.nanmean(self.elecprice_marketprice_8day)
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price_weighted_mean = np.nanmean(self.elecprice_marketprice_wh_8day)
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else:
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weights = self.elecprice_8days_weights_day_of_week[day_of_week]
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prices_of_hour_masked: NDArray[Shape["24"]] = np.ma.MaskedArray(
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@@ -204,24 +204,28 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
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elecprice_cache_file.seek(0)
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self.elecprice_8days = np.load(elecprice_cache_file)
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# Get elecprice_charges
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charges = self.config.elecprice_charges if self.config.elecprice_charges else 0.0
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# Get elecprice_charges_kwh_kwh
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charges_kwh = (
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self.config.elecprice_charges_kwh if self.config.elecprice_charges_kwh else 0.0
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)
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for i in range(values_len):
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original_datetime = akkudoktor_data.values[i].start
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dt = to_datetime(original_datetime, in_timezone=self.config.timezone)
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akkudoktor_value = akkudoktor_data.values[i]
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price = akkudoktor_value.marketpriceEurocentPerKWh / 100 + charges
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price_wh = (
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akkudoktor_value.marketpriceEurocentPerKWh / (100 * 1000) + charges_kwh / 1000
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)
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if compare_datetimes(dt, self.start_datetime).lt:
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# forecast data is too old
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self.elecprice_8days[dt.hour, dt.day_of_week] = price
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self.elecprice_8days[dt.hour, dt.day_of_week] = price_wh
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continue
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self.elecprice_8days[dt.hour, 7] = price
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self.elecprice_8days[dt.hour, 7] = price_wh
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record = ElecPriceDataRecord(
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date_time=dt,
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elecprice_marketprice=price,
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elecprice_marketprice_wh=price_wh,
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)
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self.append(record)
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@@ -242,7 +246,7 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
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record = ElecPriceDataRecord(
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date_time=dt,
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elecprice_marketprice=value,
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elecprice_marketprice_wh=value,
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)
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self.insert(0, record)
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# Assure price ends at end_time
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@@ -253,6 +257,6 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
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record = ElecPriceDataRecord(
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date_time=dt,
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elecprice_marketprice=value,
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elecprice_marketprice_wh=value,
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)
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self.append(record)
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