Video: Optimizing EV Charging Station Placement with Zerve

Greg and Jason from Zerve demonstrated different approaches to optimizing electric vehicle (EV) charging station placement during a live session at the Data Science Festival's 10th anniversary. Greg used a step-by-step prompting method, while Jason employed a comprehensive single-prompt approach, both achieving similar results with slight variations in control and exploratory analysis. The session highlighted the challenge of minimizing travel distance to stations while meeting demand in high-demand zones, using methods like K-medoids optimization and a greedy set approach. The event showcased the collaborative features of Zerve, allowing participants to seamlessly work together, and concluded with plans for future events, including a fantasy football hackathon. Participants actively engaged in creating and sharing their variations of the optimization challenge, and the session emphasized the importance of starting with simple prompts and iterating based on feedback.

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