Conversation
… Scoring - Implemented IEEE 2030.5 `der_control` mapping in Kafka broadcasts to unblock L3 automated dispatching. - Refactored `confidence_score` logic to prioritize explicit L1 Physics scores for ML data fidelity. - Fixed a ReferenceError bug in `updateRegionalStats` regarding regional capacity fallback. - Enforced 10% BESS variance threshold in safety consumer aligned with L1 physics invariants. - Updated service version to 2.4.5 and generated Weekly Engineering Report. - Verified 32/32 unit tests passing. Co-authored-by: dcplatforms <10982057+dcplatforms@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
This update synchronizes Layer 2 (Grid Signal) with the latest platform-wide requirements for Phase 5 (Enterprise Scale) and prepares for Phase 6 (AI & Optimization).
Key Engineering Wins:
The service has been bumped to v2.4.5 and includes comprehensive regression tests for all new logic.
PR created automatically by Jules for task 17202429087836746604 started by @dcplatforms