YassYBS26 Sol48 — High-Precision Veto Planner

Submission for the NORA BatterySwapAI 2026 challenge.

Planner.plan() estimates a predictive distribution over each battery's end-of-life date, prices every candidate swap day (and the option of not swapping) with the competition's cost model, and searches over work-order assignments to minimise the expected total.

Layout

script.py                              submission entry point
batteryswap_example/features.py        cut-time feature extraction
batteryswap_example/survival.py        end-of-life model
batteryswap_example/tsbp.py            trajectory-similarity features
batteryswap_example/costmodel.py       cost model and schedule simulator
batteryswap_example/planner.py         planner and search
batteryswap_example/planners/best.pickle   fitted model

Running

BATTERYSWAP_DATASET_PATH=/path/to/dataset \
BATTERYSWAP_SPLITS=public,private \
  python script.py

Writes submission.csv. This tree is inference-only; model fitting lives outside the published repository.

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