Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems

1 code implementation • 14 Mar 2022 • Jochen Stiasny, Samuel Chevalier, Rahul Nellikkath, Brynjar Sævarsson, Spyros Chatzivasileiadis

Deep decarbonization of the energy sector will require massive penetration of stochastic renewable energy resources and an enormous amount of grid asset coordination; this represents a challenging paradigm for the power system operators who are tasked with maintaining grid stability and security in the face of such changes.

BIG-bench Machine Learning