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Andreas
6dc58c33e2
A battery or inverter failure limits PV to local demand for days. The calibration read that as the plant's true output and learned it as a permanent model loss, so one outage degraded the forecast long after the hardware was fixed. Calibration now estimates the healthy plant ratio over `calibration_reference_days`, excludes days below `calibration_outage_threshold` of it, and falls back to the most recent `calibration_min_healthy_days` when the normal window is contaminated. `calibration_outage_filter_enabled` turns this off for plants where measured curtailment, not available potential, is the prediction target. The fit also uses native 15-minute meter readings when every configured PV meter supplies them - never interpolating hourly counters into an invented quarter-hour profile - interpolates azimuth factors smoothly between bin centres instead of stepping the EMS input curve, and normalizes the shape per forecast day so it redistributes energy without changing that day's kWh correction. The default azimuth bin widens from 15 to 45 degrees, which is what a typical window actually supports. Fixes the calibration window itself: it was derived from the measurement store as a whole rather than from the configured PV production meters. A load meter reaching further than the PV meter placed the window where no PV reading exists, so calibration silently fell back to hourly fitting or skipped itself. Also fixes `Measurement.load()`, which discarded every stored record. It validated the file into a "temporary" Measurement, but Measurement is a singleton, so that instance was the live one and the parsed records were dropped.