buzera/heating-mpc-ha
1
0 Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
8 Commits 1 Branch 0 Tags
387929b01b9a8ad39707533228fb943067b3241a
Commit Graph
8 Commits
This Branch
This Branch
All Branches
Author SHA1 Message Date
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 43f30dab2b Fix Python setup in CI
Tests / tests (push) Successful in 1m10s
Details
2026-10-26 20:13:15 +02:00
buzera 9ed62885b7 Use dedicated Node runner
Tests / tests (push) Failing after 37s
Details
2026-10-26 19:31:36 +02:00
buzera f76f0aa016 Use configured CI runner
Tests / tests (push) Failing after 39s
Details
2026-10-26 18:23:42 +02:00
buzera c771bc360a Add HA lifecycle tests and CI
Tests / tests (push) Canceled after 0s
Details
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