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Initial release: Ashvale Station 1.0.0
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# Changelog
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All notable changes to this project are documented here.
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Format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/);
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versioning follows [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.0.0] - 2026-08-15
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First public release.
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### Added
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- Multi-horizon forecasting: 18 direct heads (3 targets x 6 horizons) using
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exponentially weighted recursive least squares with a capped covariance trace.
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- Hedge-blended ensemble over persistence, climatology and the learned model,
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so the system can conclude that the learned model is not worth using.
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- Adaptive conformal prediction intervals with coverage feedback.
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- Constant-velocity Kalman bank (Joseph form) for level and rate estimation.
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- Grey-box CPU self-heating compensation with an RLS-estimated coefficient,
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calibrated from a single trusted thermometer reading.
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- Harmonic climatology with anomaly decay for a 7-day outlook, with annual
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terms gated behind 120 days of history.
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- Precipitation model: Zambretti barometric prior plus an online logistic
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residual learner with human-in-the-loop labelling.
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- Monitoring: Mahalanobis EWMA novelty, Page-Hinkley drift detection that
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triggers retraining, and stuck-sensor detection.
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- Verification loop scoring every matured forecast against persistence and
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climatology, surfaced as a public scorecard.
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- Tiered storage: raw to 5-minute to hourly downsampling, roughly 30 MB per year.
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- Arbitrary-range history queries, per-day summaries, all-time records and
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streamed CSV export.
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- Five-tab dashboard sized to a single viewport, with a Methods tab generated
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from the live configuration.
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- LED matrix driver with pressure-trend arrows, rain bars and alert pulses.
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- Physics-based simulator fallback so the suite runs without a Sense HAT.
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- Backfill and walk-forward backtest scripts.
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