Developing a geolocated address reference system specifically tailored for energy distribution networks

In a world of rapidly evolving power production and distribution technologies, having an accurate view of the distribution network is essential. It serves as the basis for many analyses useful for its maintenance and development or predicting its load and capacity. It also helps technicians to quickly identify where they need to go when a physical intervention is needed. In this paper, we present a methodology to leverage open data to build referential systems that can be used to accurately position clients.