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Merged
mroberto166 merged 1 commit into from
Aug 14, 2026
Merged

docs(power): use walk-forward debias in MW examples #88

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3 changes: 3 additions & 0 deletions examples/market_aggregates/market_aggregates_example.py
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Original file line number Diff line number Diff line change
Expand Up @@ -129,6 +129,7 @@ def main():
weighting="wind_capacity",
model_runs=[ModelRuns(Models.EPT2, [0, 1])],
max_lead_time=48,
debias=True,
)
print(f"MW dataset:\n{mw_data}")

Expand All @@ -137,6 +138,7 @@ def main():
weighting="solar_capacity",
model_runs=[ModelRuns(Models.EPT2, 0)],
max_lead_time=24,
debias=True,
)
print(f"Solar MW dataset:\n{solar_mw}")

Expand All @@ -150,6 +152,7 @@ def main():
weighting="population",
model_runs=[ModelRuns(Models.EPT2, 0)],
max_lead_time=48,
debias=True,
)
print(f"Load (demand) MW dataset:\n{load_mw}")

Expand Down
2 changes: 2 additions & 0 deletions examples/power_forecast/plot_day_ahead_timeseries.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,7 @@ def plot_yearly_day_ahead(pf, zone: str) -> None:
time_zone="UTC",
start_date=start,
end_date=end,
debias=True,
)
df = _to_frame(ds)
if df is None or df.empty:
Expand Down Expand Up @@ -109,6 +110,7 @@ def plot_init_hour_comparison(pf, zone: str) -> None:
time_zone="UTC",
start_date=start,
end_date=end,
debias=True,
)
df = _to_frame(ds)
if df is None or df.empty:
Expand Down
1 change: 1 addition & 0 deletions examples/power_forecast/plot_power_forecast.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@ def main():
"zone_keys": zones,
"init_time": ["latest-3", "latest-4"],
"max_prediction_timedelta": 4320,
"debias": True,
},
requires_auth=True,
)
Expand Down
7 changes: 7 additions & 0 deletions examples/power_forecast/power_forecast_example.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,6 +66,7 @@ def main():
init_time="latest",
max_prediction_timedelta=2880,
version=stable.model_version,
debias=True,
)
print(ds_pinned)
print()
Expand All @@ -77,6 +78,7 @@ def main():
init_time="latest",
max_prediction_timedelta=2880,
version="latest",
debias=True,
)
print(ds_latest)
print()
Expand All @@ -91,6 +93,7 @@ def main():
version_pins=[
{"zone_key": "DE", "psr_type": "Solar", "version": "latest"},
],
debias=True,
)
print(ds_pins)
print()
Expand All @@ -103,6 +106,7 @@ def main():
psr_types=["Solar"],
init_time="latest",
max_prediction_timedelta=2880,
debias=True,
)
print(ds)
print()
Expand All @@ -115,6 +119,7 @@ def main():
zone_keys=[zones[0]],
init_time=[0, 1],
max_prediction_timedelta=1440,
debias=True,
)
print(ds2)
print()
Expand All @@ -127,6 +132,7 @@ def main():
zone_keys=zones,
start_time=now.replace(hour=0, minute=0, second=0, microsecond=0),
end_time=now,
debias=True,
)
print(ds3)
print()
Expand All @@ -140,6 +146,7 @@ def main():
init_hour=9, # e.g. D-1 09:00
time_zone="UTC",
max_init_times=10, # stitch up to 10 matching days
debias=True,
)
print(ds4)

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3 changes: 3 additions & 0 deletions src/jua/market_aggregates/energy_market.py
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Original file line number Diff line number Diff line change
Expand Up @@ -284,13 +284,15 @@ def compare_runs_mw(
... weighting="wind_capacity",
... model_runs=[ModelRuns(Models.EPT2, [0, 1])],
... max_lead_time=48,
... debias=True,
... )
>>>
>>> # Predicted electricity demand (load_mw)
>>> ds_load = germany.compare_runs_mw(
... weighting="population",
... model_runs=[ModelRuns(Models.EPT2, 0)],
... max_lead_time=48,
... debias=True,
... )
>>>
>>> # Daily mean MW data
Expand All @@ -301,6 +303,7 @@ def compare_runs_mw(
... temporal_aggregation=TemporalAggregation(
... AggregationFrequency.DAILY,
... ),
... debias=True,
... )
"""
attrs = {
Expand Down
10 changes: 10 additions & 0 deletions src/jua/power_forecast/power_forecast.py
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Original file line number Diff line number Diff line change
Expand Up @@ -89,6 +89,7 @@ class PowerForecast:
... psr_types=["Solar"],
... init_time="latest",
... max_prediction_timedelta=2880,
... debias=True,
... )
>>>
>>> # Same query against the packaged latest (preview) pointers
Expand All @@ -97,13 +98,15 @@ class PowerForecast:
... psr_types=["Solar"],
... init_time="latest",
... version="latest",
... debias=True,
... )
>>>
>>> # Time range mode
>>> ds = pf.get_data(
... zone_keys=["DE", "FR"],
... start_time=datetime(2025, 12, 1),
... end_time=datetime(2025, 12, 3),
... debias=True,
... )
"""

Expand Down Expand Up @@ -348,6 +351,7 @@ def get_versions(
... psr_types=["Solar"],
... init_time="latest",
... version=stable.model_version,
... debias=True,
... )
"""
params: dict = {}
Expand Down Expand Up @@ -461,6 +465,7 @@ def get_data(
... zone_keys=["DE"],
... psr_types=["Solar"],
... init_time="latest",
... debias=True,
... )
>>>
>>> # Preview / latest serving pointers
Expand All @@ -469,6 +474,7 @@ def get_data(
... psr_types=["Solar"],
... init_time="latest",
... version="latest",
... debias=True,
... )
>>>
>>> # Freeze today's stable run id (promote-safe)
Expand All @@ -481,6 +487,7 @@ def get_data(
... psr_types=["Solar"],
... init_time="latest",
... version=stable.model_version,
... debias=True,
... )
>>>
>>> # Mix aliases per cell
Expand All @@ -492,6 +499,7 @@ def get_data(
... version_pins=[
... {"zone_key": "DE", "psr_type": "Solar", "version": "latest"},
... ],
... debias=True,
... )
>>>
>>> # Time range query
Expand All @@ -500,6 +508,7 @@ def get_data(
... zone_keys=["DE"],
... start_time=datetime(2025, 12, 1),
... end_time=datetime(2025, 12, 3),
... debias=True,
... )
"""
has_horizon = init_time is not None or max_prediction_timedelta is not None
Expand Down Expand Up @@ -641,6 +650,7 @@ def get_day_ahead_timeseries(
... start_date=datetime(2026, 7, 1),
... end_date=datetime(2026, 7, 8),
... time_zone="Europe/Berlin",
... debias=True,
... )
"""
if not zone_keys or not isinstance(zone_keys, list):
Expand Down
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