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

Description

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.

Institutions

• University of Science and Technology of China

Categories

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