Simultaneous Demand Prediction and Planning

Last update: Sep 01, 2022

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

Evaluations of charging demand prediction
python model/run.py --source SOURCE_CITY --target TARGET_CITY --model MODEL_NAME
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
Evaluations with varied budgets
python evaluation_varied_budget.py
Evaluations with optimal solution
python optimal_comparison_BF_tio.py

Owner

Yizong Wang

GitHub Repository

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