laurel
  • 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
laurel
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