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fix(ElecPriceEnergyCharts): get history series, update docs (#606)

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Signed-off-by: redmoon2711 <redmoon2711@gmx.de>
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redmoon2711 2025-06-25 08:26:15 +02:00 committed by GitHub
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2 changed files with 24 additions and 20 deletions
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20
docs/akkudoktoreos/prediction.md
View File

@ -136,11 +136,21 @@ option are added.
### ElecPriceEnergyCharts Provider
The `ElecPriceEnergyCharts` provider retrieves electricity prices directly from **Energy-Charts.info**,
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 Energy-Charts.info. Electricity price charges specified in the `charges_kwh` configuration option
are included in the calculation as `(market price + charges_kwh) * 1.19 VAT`.
The `ElecPriceEnergyCharts` provider retrieves day-ahead electricity market prices from
[Energy-Charts.info](https://www.Energy-Charts.info). It supports both short-term and extended forecasting by combining
real-time market data with historical price trends.
- For the next 24 hours, market prices are fetched directly from Energy-Charts.info.
- For periods beyond 24 hours, prices are estimated using extrapolation based on historical data and the latest
available market values.
Charges and VAT
- If `charges_kwh` configuration option is greater than 0, the electricity price is calculated as:
`(market price + charges_kwh) * 1.19 VAT` (including 19% VAT).
- If `charges_kwh` is set to 0, the electricity price is simply: `market_price` (no VAT applied).
**Note:** For the most accurate forecasts, it is recommended to set the `historic_hours` parameter to 840.
### ElecPriceImport Provider

22
src/akkudoktoreos/prediction/elecpriceenergycharts.py
View File

@ -177,18 +177,12 @@ class ElecPriceEnergyCharts(ElecPriceProvider):
# Determine if update is needed and how many days
past_days = 35
if self.highest_orig_datetime:
# Try to get lowest datetime in history
try:
history = self.key_to_array(
key="elecprice_marketprice_wh",
start_datetime=self.start_datetime,
fill_method="linear",
history_series = self.key_to_series(
key="elecprice_marketprice_wh", start_datetime=self.start_datetime
)
# If start_datetime lower then history
if history.index.min() <= self.start_datetime:
past_days = 1
except AttributeError as e:
logger.error(f"Energy-Charts no Index in history: {e}")
# If history lower, then start_datetime
if history_series.index.min() <= self.start_datetime:
past_days = 0
needs_update = end > self.highest_orig_datetime
else:
@ -196,9 +190,9 @@ class ElecPriceEnergyCharts(ElecPriceProvider):
if needs_update:
logger.info(
f"Update ElecPriceEnergyCharts is needed, last update:{self.highest_orig_datetime}"
f"Update ElecPriceEnergyCharts is needed, last in history: {self.highest_orig_datetime}"
)
# Set Start_date try to take data from 5 weeks back for prediction
# Set start_date try to take data from 5 weeks back for prediction
start_date = to_datetime(
self.start_datetime - to_duration(f"{past_days} days"), as_string="YYYY-MM-DD"
)
@ -213,7 +207,7 @@ class ElecPriceEnergyCharts(ElecPriceProvider):
self.key_from_series("elecprice_marketprice_wh", series_data)
else:
logger.info(
f"No update ElecPriceEnergyCharts is needed last update:{self.highest_orig_datetime}"
f"No Update ElecPriceEnergyCharts is needed, last in history: {self.highest_orig_datetime}"
)
# Generate history array for prediction