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The integration of new technologies such as fuel cells, battery electric vehicle charging stations, and heavy-duty battery vehicles, is transforming the way electricity is generated and consumed. This integration presents many challenges for power systems including the need to balance the supply and demand, power quality, and stability of the system. To understand the effects of new technologies on power systems, novel methodologies are being developed and tested. How-ever, analyzing these behaviors on real networks is challenging due to their limited data. Therefore, this paper contributes a new data-driven methodology for the automated generation of geo-referenced synthetic medium-voltage networks based on open data. The methodology first generates a graphical network using geo-referenced synthetic low-voltage networks, non-residential buildings classified from OpenStreetMap (OSM) building data …