Cabine in Rosa

The first Cabine in Rosa — the project that began a long collaboration with E-Distribuzione.

client

E-Distribuzione e Giro d'Italia

size

Cabine in Rosa – Piverone is a mural created by artist Neve in 2019 in Piverone, Turin, for E-Distribuzione (Enel Group) as part of the first edition of the Cabine in Rosa – Giro d'Italia project.

"Cabine in Rosa" is a project by E-Distribuzione — the Enel group subsidiary that manages Italy's electricity distribution grid — conceived in partnership with the Giro d'Italia. In its first edition (2019), six electrical distribution cabins were painted by street artists along stages of the race route, transforming functional urban infrastructure into outdoor artworks embedded in the territory. The six locations were: Bologna, Pedaso (Fermo), Castelmaggiore (Bologna), Piverone (Turin), Cortina d'Ampezzo (Belluno), and Longarone (Belluno). Neve was commissioned for the cabin at Piverone, a small town in the province of Turin, in the Canavese area near Ivrea. The subject is a woman — blonde, dark-skinned, seen in three-quarter close-up with her face tilted slightly downward — painted in Neve's hyperrealist technique across the main panel of the cabinet. She holds a wheat ear, referencing the agricultural character of the Canavese landscape. Across the figure and extending to the sides of the cabinet, a network of geometric lines and luminous nodes — rendered in blue and white, suggesting both a constellation chart and an electrical circuit diagram — spreads outward from her: the energy grid made visible as light, as connection, as map. A white lightning bolt cuts vertically through the composition. The background transitions from deep black to a warm pink-magenta glow — a reference to the Giro d'Italia's signature colour — and the geometric network continues around to the sides of the cabinet, wrapping the entire structure in the same visual language. The cabinet at Piverone is part of a series of E-Distribuzione commissions that Neve executed across multiple Italian locations. The project was executed using a cherry picker, documented in part from an aerial/drone perspective.