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1 s2.0 S2590174525004441 Main by mohammedsabertohamy is a document available to read on EtoBox.

This paper presents a data-driven framework for optimizing electric vehicle (EV) charging infrastructure in Cairo, addressing challenges posed by urbanization in megacities. It employs K-Means clustering and load analysis to identify optimal locations for charging stations, revealing disparities in service provision across different districts. The study also highlights the potential of Vehicle-to-Grid technology to reduce peak load without additional infrastructure, offering a scalable model for equitable E

Author
mohammedsabertohamy
Language
EN