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>
This commit is contained in:
Bobby Noelte
2024-12-30 21:29:50 +01:00
committed by GitHub
parent 45079ca29c
commit c0ea13d0f4
13 changed files with 178 additions and 52 deletions

View File

@@ -9,6 +9,6 @@ class ElecPriceCommonSettings(SettingsBaseModel):
elecprice_provider: Optional[str] = Field(
default=None, description="Electricity price provider id of provider to be used."
)
elecprice_charges: Optional[float] = Field(
elecprice_charges_kwh: Optional[float] = Field(
default=None, ge=0, description="Electricity price charges (€/kWh)."
)

View File

@@ -7,7 +7,7 @@ Notes:
from abc import abstractmethod
from typing import List, Optional
from pydantic import Field
from pydantic import Field, computed_field
from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
from akkudoktoreos.utils.logutil import get_logger
@@ -23,10 +23,22 @@ class ElecPriceDataRecord(PredictionRecord):
"""
elecprice_marketprice: Optional[float] = Field(
None, description="Electricity market price (€/KWh)"
elecprice_marketprice_wh: Optional[float] = Field(
None, description="Electricity market price per Wh (€/Wh)"
)
# Computed fields
@computed_field # type: ignore[prop-decorator]
@property
def elecprice_marketprice_kwh(self) -> Optional[float]:
"""Electricity market price per kWh (€/kWh).
Convenience attribute calculated from `elecprice_marketprice_wh`.
"""
if self.elecprice_marketprice_wh is None:
return None
return self.elecprice_marketprice_wh * 1000.0
class ElecPriceProvider(PredictionProvider):
"""Abstract base class for electricity price providers.

View File

@@ -134,7 +134,7 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
prices_of_hour = self.elecprice_8days[hour]
if np.isnan(prices_of_hour).all():
# No prediction prices available for this hour - use mean value of all prices
price_weighted_mean = np.nanmean(self.elecprice_marketprice_8day)
price_weighted_mean = np.nanmean(self.elecprice_marketprice_wh_8day)
else:
weights = self.elecprice_8days_weights_day_of_week[day_of_week]
prices_of_hour_masked: NDArray[Shape["24"]] = np.ma.MaskedArray(
@@ -204,24 +204,28 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
elecprice_cache_file.seek(0)
self.elecprice_8days = np.load(elecprice_cache_file)
# Get elecprice_charges
charges = self.config.elecprice_charges if self.config.elecprice_charges else 0.0
# Get elecprice_charges_kwh_kwh
charges_kwh = (
self.config.elecprice_charges_kwh if self.config.elecprice_charges_kwh else 0.0
)
for i in range(values_len):
original_datetime = akkudoktor_data.values[i].start
dt = to_datetime(original_datetime, in_timezone=self.config.timezone)
akkudoktor_value = akkudoktor_data.values[i]
price = akkudoktor_value.marketpriceEurocentPerKWh / 100 + charges
price_wh = (
akkudoktor_value.marketpriceEurocentPerKWh / (100 * 1000) + charges_kwh / 1000
)
if compare_datetimes(dt, self.start_datetime).lt:
# forecast data is too old
self.elecprice_8days[dt.hour, dt.day_of_week] = price
self.elecprice_8days[dt.hour, dt.day_of_week] = price_wh
continue
self.elecprice_8days[dt.hour, 7] = price
self.elecprice_8days[dt.hour, 7] = price_wh
record = ElecPriceDataRecord(
date_time=dt,
elecprice_marketprice=price,
elecprice_marketprice_wh=price_wh,
)
self.append(record)
@@ -242,7 +246,7 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
record = ElecPriceDataRecord(
date_time=dt,
elecprice_marketprice=value,
elecprice_marketprice_wh=value,
)
self.insert(0, record)
# Assure price ends at end_time
@@ -253,6 +257,6 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
record = ElecPriceDataRecord(
date_time=dt,
elecprice_marketprice=value,
elecprice_marketprice_wh=value,
)
self.append(record)