Power Grid Health Assessment Using Machine Learning Algorithms

Development and successful implementation of Artificial Intelligence concepts with a focus on Neural Networks in different technical environments raise the question of their applicability in the transition from classic power grids to smart grids. In this paper power grid status is evaluated based on deviation between measured system parameters and design values while also considering historical values.