Online versus day-ahead charger allocation in battery swapping stations: simulation driver, result data and figure scripts

Supplementary data for the manuscript "Online versus day-ahead charger allocation in battery swapping stations: quantifying the price of causality and the bounding role of the installed charger inventory" (submitted to Sustainable Energy, Grids and Networks, 2026). Contents: onlineStudy.m (MATLAB driver for experiments G0–G5; requires the authors' BSS charging engine), Data/ (CSV result tables G0_reference_day, G1_paired_regret, G2_paired_regret, G3_forecast_quality, G4_tariff_regime, G5_rule_sensitivity), Mat/ (MATLAB result files incl. per-day caches G1_ck, G2_ck, G3_ck used for the paired Wilcoxon tests), Figures/ (MATLAB-generated figures) and make_figures.py (Python script producing the composite figures Fig. 1–5 of the manuscript from the CSV/MAT files). Pack classes: 2W (4.0 kWh), 3W (11.8 kWh), 4W (30.5 kWh); 100 arrivals per day, seeds 2025–2054.