Estimation of Resource Allocation Based on Disturbance Prediction Data with Use of Statistics, Machine Learning and Data Analysis
The electrical power grid is one of modern society’s most important infrastructures and both power distributors and the Swedish government are investing large amount of resources to ensure continuous delivery of power. By predicting future outages with an automatic prediction system, the distributors could prevent long restoration times and economic loss. In this work, the authors evaluate the pos