A new predictive model for more accurate electrical grid mapping

This post details the development of a new predictive model for mapping medium-voltage (MV) electrical infrastructure using publicly available data sets. The model leverages nighttime radiance data from VIIRS day-night band sensors, combined with a modified Dijkstra's shortest path algorithm, to infer grid paths. The output is released for six countries and includes detailed documentation and code for replication. The model achieves approximately 70% accuracy within one kilometer of known grid locations based on public data alone, with potential for further improvement.