Linking damping of electromechanical oscillations to system operating conditions using neural networks
This paper presents the application of Neural Networks to link the damping of electromechanical oscillations in the Nordic power system to the measured operating conditions. Different neural network topologies have already been presented in the literature for this application, but using exclusively data from simulations. The primary objective of the paper is to analyze how these topologies behave