mattiasingelstrom/hd-ev-charging-profiles: Charging Demand Profiles for Heavy-Duty Electric Trucks — Skåne, Sweden

Initial release — Reproducibility package Hourly charging demand profiles for heavy-duty electric trucks in the Skåne region of southern Sweden, derived from 78 iterations of a MATSim agent-based transport simulation. Contents Normalised profiles (fraction of daily energy, sum = 1.0) — reusable temporal shapes independent of fleet size Scaled MW curves — pre-scaled to simulation-default fleet sizes Absolute demand curves (kW) — with full percentile bands (P5–P95) Battery-size breakdowns — profiles for five battery-capacity bins (0–200 through 500–600 kWh) Self-contained Python plotting scripts — regenerate all figures or re-scale to custom scenarios Charging scenarios | Scenario | Description | |----------|-------------| | Public | En-route fast / opportunity charging (1,269 MWh/day, ~1,894 trucks) | | Depot | Optimised overnight charging with peak shaving (141.6 MWh/day, ~756 trucks) | How to use pip install pandas numpy matplotlib python [plot_normalized_profiles.py](http://_vscodecontentref_/0)