Welcome to project laurel’s API docs!

• LAUREL: Location-Attuned Uncertainty-Robust Electric-vehicle Load-simulator
  • Background
  • Model Overview
    • Module 1 — Select States of the World (prepare_totals, build_scenarios)
    • Module 2 — Augment Dwell Data (describe_dwells, compute_routes)
    • Module 3 — Augment TAZs (describe_locations)
    • Module 4 — Simulate Electrified Dwells (electrify_trips)
    • Module 5 — Estimate Expected Electrified Dwells (evaluate_impacts)
    • Module 6 — Assemble Load Profiles (evaluate_impacts)
  • Input Data
  • Repository Structure
  • Prerequisites
  • Installation
    • GraphHopper routing engine
  • Running the Model
    • One-time data preparation
    • Running a specific scenario
    • Scenario run scripts
  • Scenarios
  • Configuration
    • Data catalog (conf/base/catalog.yml)
    • Pipeline parameters
  • Output Data
    • Cross-SoW aggregation
  • HPC Execution (Sherlock)
    • Submitting jobs
    • GraphHopper on Sherlock (Apptainer)
  • Development
  • Citation
  • Acknowledgments
• laurel
  • laurel package
    • Subpackages
      • laurel.datasets package
      • laurel.models package
      • laurel.pipelines package
      • laurel.routing package
      • laurel.scenario_builders package
      • laurel.scenario_framework package
      • laurel.utils package
    • Submodules
    • laurel.pipeline_registry module
      • register_pipelines()
    • laurel.settings module
    • Module contents
• Running the project in a container
  • What this is
  • Adopting this in another Kedro project
  • Everyday usage
    • Locally, with Docker
    • On the cluster, with Apptainer
  • Configuration knobs
  • Caveats worth reading before debugging
  • Verification checklist

Indices and tables

• Index

• Module Index

• Search Page