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amount_datasets cases added

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Normann 2025-01-07 14:56:25 +01:00 committed by Andreas
parent f3d3eac500
commit c334cf4b33
1 changed files with 30 additions and 21 deletions
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51
src/akkudoktoreos/prediction/elecpriceakkudoktor.py
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@ -180,29 +180,28 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
)
amount_datasets = len(self.records)
assert highest_orig_datetime # mypy fix
# Insert prediction into ElecPriceDataRecord
if amount_datasets > 800:
assert highest_orig_datetime # mypy fix
prediction = self._predict_ets(
history, seasonal_periods=24 * 7, prediction_hours=24 * 7
)
for i, price in enumerate(prediction):
pred_datetime = highest_orig_datetime + to_duration(f"{i + 1} hours")
existing_record = next(
(r for r in self.records if r.date_time == pred_datetime), None
prediction = self._predict_ets(history, seasonal_periods=168, prediction_hours=7 * 24)
elif amount_datasets > 168:
prediction = self._predict_ets(history, seasonal_periods=24, prediction_hours=7 * 24)
elif amount_datasets > 0:
prediction = self._predict_median(history, prediction_hours=7 * 24)
else:
assert False, "No data available"
for i, price in enumerate(prediction):
pred_datetime = highest_orig_datetime + to_duration(f"{i + 1} hours")
existing_record = next((r for r in self.records if r.date_time == pred_datetime), None)
if existing_record:
# Update existing record
existing_record.elecprice_marketprice_wh = price
else:
assert pred_datetime # mypy fix
self.insert(
0,
ElecPriceDataRecord(date_time=pred_datetime, elecprice_marketprice_wh=price),
)
if existing_record:
# Update existing record
existing_record.elecprice_marketprice_wh = price
else:
assert pred_datetime # mypy fix
self.insert(
0,
ElecPriceDataRecord(
date_time=pred_datetime, elecprice_marketprice_wh=price
),
)
history2 = np.array(
[
[record.elecprice_marketprice_wh, record.date_time]
@ -210,7 +209,17 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
if record.elecprice_marketprice_wh is not None
]
)
print(len(history2), len(history))
# print(len(history2), len(history))
# now we count how many data points we have.
# if its > 800 (5 weeks) we will use EST
# elif > idk maybe 168 (1 week) we use EST without season
# elif < 168 we use a simple median
# #elif == 0 we need some static value from the config
# depending on the result we check prediction_hours and predict that many hours.
# we get the result and iterate over it to put it into ElecPriceDataRecord
def main() -> None: