Reproducibility Package for Feasibility-First Evaluation of Workplace EV Charging Under Departure Uncertainty

This reproducibility package accompanies the manuscript “Feasibility-First Evaluation of Workplace EV Charging Under Departure Uncertainty: Dual Endpoints, Bounded Offline References, and Cross-Context Validation.” The package supports implementation-level specification and verification of the feasibility-first evaluation protocol used in the study. It contains first-party materials for ACN provider-side acquisition, audit, transformation, split reconstruction, schemas, evaluation contracts, package-safe tests, frozen evidence ledgers, publication-table source material, and vector figures supporting the reported results. For the NREL Workplace Charging Data provided by the National Renewable Energy Laboratory (NREL), the package contains construction definitions, evaluation contracts, and verification evidence for the reported family construction, target-feasibility, offline-reference, method-comparison, sensitivity, and bootstrap results. Raw ACN session records and raw NREL provider data are not redistributed and remain subject to the applicable provider terms. Users must obtain the source datasets separately from their respective providers. The package supports reconstruction of the ACN preparation workflow after provider-side data acquisition and verification of the deposited ACN and NREL evidence. It is not presented as a packaged end-to-end NREL provider-to-result pipeline or as an end-to-end public rerun of every manuscript analysis. First-party research evidence, documentation, tables, and figures are licensed under CC BY 4.0. First-party software components are licensed under MIT; see LICENSE and LICENSES.md in the archive. The scientific contribution supported by this package is a feasibility-first evaluation protocol for workplace EV charging under departure uncertainty, including ex ante population eligibility, separate requested-departure and actual-disconnect endpoints, target-specific offline feasibility assessment, Exact/Tight/Bounded reference provenance, and matched method-to-reference comparison.