Python
Fairness-Oriented Charging Station Location Optimization Driven by Deep Reinforcement Learning
Aim:
The aim of this project is to develop a fairness-oriented EV charging station location optimization framework using geospatial analytics and deep reinforcement learning. It integrates population density, POI distribution, and spatial coverage to identify high-impact candidate sites. The system ensures region-balanced accessibility while maximizing demand-weighted service coverage.