Presentation on Bayesian distribution grid identification

With the rise of renewables and the increasing electrification of all devices, electrical distribution infrastructure needs to be reinforced and modernized. Many distribution grids were built long ago, and did not require careful modelling as we need today in order to plan and operate renewable resources correctly. In this talk, we present advanced concepts in machine learning applied to power systems to automatically identify grid parameters. A preprint of the conference proceedings is available here.