This tool is being used in Portugal for 1 year, with 80 000 km of power lines, and for 85% of the time the forecast matched with what happened in real time. It is also relevant to mention that for 99% of the time, when there was an outage, the real events happened in the forecasted level or above.
'Outage Forecast was one of the first successful applications of Machine Learning techniques to an EDP Distribuição's real challenge. The deployment of this project help us better understand the impact of weather conditions across all mainland Portuguese HV and MV grid, and by predicting the number of outages help us improving our workforce management strategies and operacional planning'