A method for predicting electrical power distribution interruptions based on common, immediate weather conditions. Daily, hourly, and bi-hourly weather data are used to predict the number of interruptions. Common weather conditions include, but are not limited to, rain, wind, temperature, lightning, humidity, barometric pressure, snow, and ice. The method includes compiling common weather data including a plurality of weather variables and the number of historical interruptions for a historical period, establishing model equations for the average value of the weather variables, combining the model equations for each of the weather variables into a composite model, and performing a regression analysis using the composite model to establish interruption prediction values. A computer program product for enabling said method and a computer system adapted to carry out said method are also included.
Domijan, Jr., Alexander and Islam, Arif, "Electric power distribution interruption risk assessment calculator" (2014). USF Patents. 97.
University of South Florida