Kezunovic, MladenObradovic, ZoranDjokic, TatjanaRoychoudhury, Shoumik2017-12-282017-12-282018-01-03978-0-9981331-1-9http://hdl.handle.net/10125/50234This paper describes a Weather Impact Model (WIM) capable of serving a variety of predictive applications ranging from real-time operation and day-ahead operation planning, to asset and outage management. The proposed model is capable of combining various weather parameters into different weather impact features of interest to a specific application. This work focuses on the development of a universal weather impacts model based on the logistic regression embedded in a Geographic Information System (GIS). It is capable of merging massive data sets from historical outage and weather data, to real-time weather forecast and network monitoring measurements, into a feature known as weather hazard probability. The examples of the outage and asset management applications are used to illustrate the model capabilities.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalResilient NetworksWeather predictions; outage management; asset management; data analyticsConference Paper10.24251/HICSS.2018.346