rpotter6298
c8e3016fd6
- Implement `sigen_daemon.py` to poll Sigenergy plant metrics and store snapshots. - Create `web_daemon.py` for serving a web interface with various endpoints. - Add debug scripts: - `debug_duplicates.py` to find duplicate target times in forecast data. - `debug_energy_forecast.py` to print baseline energy forecast curves. - `debug_oracle_evaluations.py` to run the oracle evaluator. - `debug_sigen.py` to inspect stored Sigenergy plant snapshots. - `debug_weather.py` to trace resolved truth data. - `modbus_test.py` for exploring Sigenergy plants or inverters over Modbus TCP. - Introduce `oracle_evaluator.py` for evaluating stored oracle predictions against actuals. - Add TCN training scripts in `tcn` directory for training usage sequence models.
55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
from __future__ import annotations
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from gibil.classes.models import NetPowerForecastPoint, NetPowerForecastRun, PowerForecastRun
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class NetPowerForecaster:
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"""Combines production and usage curves into expected and interval net power."""
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def combine(
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self,
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solar_run: PowerForecastRun,
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load_run: PowerForecastRun,
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) -> NetPowerForecastRun:
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load_by_target = {point.target_at: point for point in load_run.points}
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points: list[NetPowerForecastPoint] = []
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for solar_point in solar_run.points:
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load_point = load_by_target.get(solar_point.target_at)
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if load_point is None:
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continue
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points.append(
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NetPowerForecastPoint(
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target_at=solar_point.target_at,
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horizon_minutes=solar_point.horizon_minutes,
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expected_net_power_w=(
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solar_point.p50_power_w - load_point.p50_power_w
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),
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safe_net_power_w=(
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solar_point.p10_power_w - load_point.p90_power_w
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),
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p10_net_power_w=(
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solar_point.p10_power_w - load_point.p90_power_w
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),
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p50_net_power_w=(
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solar_point.p50_power_w - load_point.p50_power_w
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),
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p90_net_power_w=(
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solar_point.p90_power_w - load_point.p10_power_w
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),
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solar_p50_power_w=solar_point.p50_power_w,
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load_p50_power_w=load_point.p50_power_w,
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solar_p10_power_w=solar_point.p10_power_w,
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solar_p90_power_w=solar_point.p90_power_w,
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load_p10_power_w=load_point.p10_power_w,
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load_p90_power_w=load_point.p90_power_w,
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)
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)
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return NetPowerForecastRun(
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issued_at=solar_run.issued_at,
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source="baseline_net_forecaster",
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points=points,
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)
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