Neural-Network-based State Estimation: the effect of Pseudo- measurements

This work wants to contribute to the current research effort of exploiting deep learning models to tackle the problem of state estimation in power systems. In this contribution, we propose first a methodology for generating data-sets in case of few measurements available. The main body of the work investigates the design of artificial neural network with an extensive study on the input-layer, whic...