Optimal Siting of Electric Vehicle Charging Station in Emerging City Using Adaptive Genetic Algorithm: The Addis Ababa Case Study

This study includes a complete case setting and Python codes that implement both the Bass diffusion model for forecasting electric vehicle adoption and a genetic algorithm for optimizing charging station placement. The code performs data-driven predictions of future EV growth and then utilizes this information to strategically determine the best locations for charging stations. These files collectively enable a more cost-effective, efficient, and tailored rollout of charging infrastructure to meet future demand.