Abstract: 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.

Abstract: Based on common weather conditions, novel methods are disclosed for the prediction of electrical power distribution interruptions and for interruption risk assessment based on immediate weather conditions. Daily, hourly, and bi-hourly weather data are used to predict the number of interruptions and to normalize reliability indices for weather. Common weather conditions include, but are not limited to, rain, wind, temperature, lightning, humidity, barometric pressure, snow, and ice. These conditions do not occur simultaneously at any one place, and the range of combinations is great, therefore the invention allows broad application of the disclosed methods.

Abstract: Based on common weather conditions, novel methods are disclosed for the prediction of electrical power distribution interruptions and for interruption risk assessment based on immediate weather conditions. Daily, hourly, and bi-hourly weather data are used to predict the number of interruptions and to normalize reliability indices for weather. Common weather conditions include, but are not limited to, rain, wind, temperature, lightning, humidity, barometric pressure, snow, and ice. These conditions do not occur simultaneously at any one place, and the range of combinations is great, therefore the invention allows broad application of the disclosed methods.