6 Commits

Include renames

Author	SHA1	Message	Date
buzeraandClaude Opus 5.5	c3646ba876	Track radiator lag across relay changes ... The lag proxy was reset to the new relay command at every relay change and after any skipped interval, so it read 1.0 straight after ON and 0.0 straight after OFF. This disabled the lag model around every boiler cycle: on a synthetic lagged plant cycled by a hysteresis thermostat the learner's heat gain came out 34% low (0.079 vs 0.12) and the loss term 43% low, and the optimizer started post-transition plans from the wrong lag. Track the lag at every poll with a valid relay state, independently of room sensors. Integrate a single change between polls at its last_changed time. For ambiguous cases (round trip between polls, relay outage, restart, clock jump) restart from time-in-state with an explicit error half-width, and learn only once it is at most 0.1 (about 32 min after an HA restart). The same synthetic test now learns 0.1195/0.00389 (true 0.12/0.004). Expose heat_lag, heat_lag_uncertainty and sample_result on Status so users can see why a poll was or was not learned. The HA test fixture relay now has an hour-old timestamp; a new test covers a freshly written relay state. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-26 21:21:14 +02:00
buzeraandClaude Opus 5.5	387929b01b	Bound learner covariance to stop RLS windup ... With forgetting 0.999 and no heat excitation (summer, long OFF periods), the heat-coefficient variance grew by 1/0.999 per sample without limit: about 8.7e12 after 104 simulated OFF days. The first ON samples could then swing coefficients to their bounds, and accumulated asymmetry approached the absolute 1e-8 restore tolerance, past which a restart silently reset the whole model. Symmetrize P and bound its diagonal by the prior after every update (row/column scaling keeps it positive definite). Restore uses a relative round-off tolerance and applies the same bound, so wound-up v0.2.1 models load instead of being discarded. Payload schema is unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-26 21:20:50 +02:00
buzera	c771bc360a	Add HA lifecycle tests and CI	2026-10-26 18:21:18 +02:00
buzera	cea79b6b48	Add sensor freshness checks	2026-10-26 18:13:00 +02:00
buzera	c434f3995d	Fix shadow observer lifecycle, learning and prediction correctness	2026-10-26 17:50:20 +02:00
buzera	2b9a10979b	initial commit v0.2.1	2026-10-26 17:34:32 +02:00