A data-driven probabilistic framework for estimating grid impacts of EV charging at scale
The rapid uptake of electric vehicles presents both opportunities and challenges for modern power systems. As charging demand increases, intelligent and data-driven approaches are essential to predict and manage future grid impacts. This paper presents a probabilistic and data-driven approach for generating realistic electric vehicle charging profiles, which can be integrated into probabilistic lo
