A multi utility company needed to prioritize maintenance for the medium voltage network in Milan. The electrical distribution counts up to 6,000 switching stations, connected to each other by so-called branches.

We developed a model to analyze the branches fault history, considering their specific characteristics (types and ages of the materials, number of joints, etc. ) and the availability of alternative branches nearby, to ensure service continuity in case of failure.

This way we highlighted those stations where the probability and the severity of fault risk were higher, in order to prioritize interventions accordingly.