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…