Location Matters: Public EV Charging Load Curve Characteristics in Urban Settings

As cities worldwide accelerate their transition to electrified transport, robust insights into public EV charging demand, remain pivotal, for infrastructure development and grid reliability.This paper evaluates a high-resolution dataset from Prague, integrating geospatial and demographic indicators to uncover key spatiotemporal charging behaviors.Our findings demonstrate pronounced morning, afternoon, and evening peaks in different urban zones, highlighting the interplay between land-use patterns and grid constraints.We further discuss how incorporating predictive modeling can facilitate proactive planning, reducing bottlenecks and ensuring equitable access to charging infrastructure.Ultimately, this approach can be extended to diverse urban settings, fostering more sustainable and resilient transport systems.