Simultaneous Demand Prediction and Planning

Related tags

Deep Learning SPAP
Overview

Simultaneous Demand Prediction and Planning

Dependencies

Python packages: Pytorch, scikit-learn, Pandas, Numpy, PyYAML

Data

POI: data/poi
Road network: data/roadnet
Transportation: data/transportation
Station profile: data/station_list
Charging records: data/station
Station profile and charging records can be collected in Star Charge APP.

Experiments

  1. Evaluations of charging demand prediction
    python model/run.py --source SOURCE_CITY --target TARGET_CITY --model MODEL_NAME
  2. Evaluations based on real plans
    1. Even, CG, Real, TIO: python real_world.py
    2. Park: python real_world_parking.py
    3. Pop: python real_world_population.py
  3. Evaluations with varied budgets
    python evaluation_varied_budget.py
  4. Evaluations with optimal solution
    python optimal_comparison_BF_tio.py
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