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Fix config and prediction revamp. (#259)

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Extend single_test_optimization.py to be able to use real world data from new prediction classes.
- .venv/bin/python single_test_optimization.py --real_world --verbose
Can also be run with profiling "--profile".

Add single_test_prediction.py to fetch predictions from remote prediction providers
- .venv/bin/python single_test_prediction.py --verbose --provider-id PVForecastAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id LoadAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ElecPriceAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id BrightSky | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ClearOutside | more
Can also be run with profiling "--profile".

single_test_optimization.py is an example on how to retrieve prediction data for optimization and
use it to set up the optimization parameters.

Changes:
- load: Only one load provider at a time (vs. 5 before)

Bug fixes:
- prediction: only use providers that are enabled to retrieve or set data.
- prediction: fix pre pendulum format strings
- dataabc: Prevent error when resampling data with no datasets.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
Bobby Noelte
2024-12-16 20:26:08 +01:00
committed by GitHub
parent 810cc17c0b
commit 31bd2de18b
21 changed files with 415 additions and 713 deletions
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23
src/akkudoktoreos/prediction/loadakkudoktor.py
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@@ -39,8 +39,8 @@ class LoadAkkudoktor(LoadProvider):
profile_data = np.array(
list(zip(file_data["yearly_profiles"], file_data["yearly_profiles_std"]))
)
data_year_energy = profile_data * self.config.loadakkudoktor_year_energy
# pprint(self.data_year_energy)
# Calculate values in W by relative profile data and yearly consumption given in kWh
data_year_energy = profile_data * self.config.loadakkudoktor_year_energy * 1000
except FileNotFoundError:
error_msg = f"Error: File {load_file} not found."
logger.error(error_msg)
@@ -54,16 +54,13 @@ class LoadAkkudoktor(LoadProvider):
def _update_data(self, force_update: Optional[bool] = False) -> None:
"""Adds the load means and standard deviations."""
data_year_energy = self.load_data()
for load in self.loads():
attr_load_mean = f"{load}_mean"
attr_load_std = f"{load}_std"
date = self.start_datetime
for i in range(self.config.prediction_hours):
# Extract mean and standard deviation for the given day and hour
# Day indexing starts at 0, -1 because of that
hourly_stats = data_year_energy[date.day_of_year - 1, :, date.hour]
self.update_value(date, attr_load_mean, hourly_stats[0])
self.update_value(date, attr_load_std, hourly_stats[1])
date += to_duration("1 hour")
date = self.start_datetime
for i in range(self.config.prediction_hours):
# Extract mean and standard deviation for the given day and hour
# Day indexing starts at 0, -1 because of that
hourly_stats = data_year_energy[date.day_of_year - 1, :, date.hour]
self.update_value(date, "load_mean", hourly_stats[0])
self.update_value(date, "load_std", hourly_stats[1])
date += to_duration("1 hour")
# We are working on fresh data (no cache), report update time
self.update_datetime = to_datetime(in_timezone=self.config.timezone)