As the world shifts towards sustainable transportation solutions, the proliferation of electric vehicles (EVs) calls for innovative approaches to charging infrastructure efficiency. This paper presents a groundbreaking analysis of electric vehicles, between data science and predictive analytics. Focused on developing smart charging infrastructure optimization systems, we leverage large data sets including historical EV charging behavior, weather, and real-time grid information. Use advanced data science techniques with machine learning and predictive analytics including implementation Let us aim to develop the system. The proposed model seeks to increase the overall efficiency of the EV charging infrastructure while addressing economic, environmental and user perspectives. Through this interdisciplinary research, our research contributes to improving sustainable urban mobility, and provides a framework for the next generation of intelligent electric vehicle charging networks.
Smart Charging Infrastructure Optimization for Electric Vehicles Using Data Science and Predictive Analytics
3 Views
3 Downloads