The heavy wet-snow storms are responsible for several and harmful winter blackouts on Italian electrical networks of high and medium voltage due to the formations of ice and snow on overhead conductors. It is estimated that every year, in Italy, the cost of damages from these particular snowstorms is greater than 200ML€. In order to study the phenomenon, a research activity was started some years ago by RSE which led to the setting-up of an alert system for wet-snow accretion on overhead lines. The purpose of the system, named WOLF (Wet-snow Overload aLert and Forecasting), is to provide the wet-snow load forecast on overhead lines during wet-snow events and, sufficiently in advance, to alert the Italian TSO and DSO to take appropriate solutions to ensure the quality and continuity in the service of transmission and supply of energy. The system is based on the outputs of a NWP model, and the forecast is valid for the next 72 hours. The outputs of the NWP model feed an ice accretion model (Makkonen -ISO 12494-2001) for the evaluation of the wet-snow sleeve. WOLF implements the Cigrè thermal model for the estimation of the anti-icing current required to produce a “Joule effect” able to maintain the wire free from the ice in the expected weather conditions. All the outputs of the models are reported in an interactive Web-GIS tool developed by RSE to meet the demands of multiple users. A meteorological station with an integrated monitoring system of the wet-snow sleeve, called WILD (Wet-snow Ice Laboratory Detection), was installed in the West Alps, an area where these phenomena occur with some frequency. The measures gathered allowed to analyze the weather conditions most critical for the wet-snow accretion and, at the same time, to carry out the “tuning” of the parameters in the models of growth. The wet-snow models properly validated, led by NWP model, can contribute to the knowledge of the distribution of the phenomena of wet-snow on the Italian territory, also useful in the design and planning of new power lines.