Inferring the behavior of distributed energy resources from incomplete measurements (project outputs)

The contents of this deposit include the papers, posters, and talks that resulted from NSF grant ECCS-1508943, "Inferring the behavior of distributed energy resources from incomplete measurements." The project focused on developing control, estimation, and modeling methods for residential demand response and electric distribution networks. Research Overview: The aim of this project was to incorporate online learning with dynamics into inference algorithms within an electric power system, e.g., for residential demand response or real-time inference in distribution networks. The research was conducted at the University of Michigan in Ann Arbor, MI, USA under NSF grant ECCS-1508943, "Inferring the behavior of distributed energy resources from incomplete measurements", between August 1, 2015 and December 31, 2018.