Nicole Zechner during her presentation

The Institute of Energy Technology and Thermodynamics is proud to have been nominated for the champI4.0ns Award with the research project “DigiKurztak…

Flowchart for the project description - see picture description: Framework for detecting misconfigurations of grid-serving functionalities, for example of inverter-based systems, using data from grid operation. In addition, a linked monitoring application has been developed that uses data from the transformer and device level for data mining and misconfiguration detection. The detection methods are combined with a disaggregation method to enable integrated data-driven fault detection.
© DOI: 10.34726/HSS.2024.120150

As a highlight of his research work, David Fellner has reached a significant personal milestone by successfully defending his PhD thesis on "Data…