Towards Data-Driven Malfunctioning Detection in Public and Industrial Power Grids. - David Fellner; Helfried Brunner; Thomas I. Strasser; Wolfgang Kastner (ETFA, 2020)

Entwicklung und Evaluierung eines Algorithmus zur automatisierten Rekonfiguration von Niederspannungsnetzen. - Daniel Herbst; Robert Schürhuber; Sawsan Henein; Paul Zehetbauer; David Fellner; Alfred Einfalt; Ernst Schmautzer; Lothar Fickert (Elektrotech. Informationstechnik, 2021)

Data Driven Transformer Level Misconfiguration Detection in Power Distribution Grids. - David Fellner; Thomas I. Strasser; Wolfgang Kastner; Behnam Feizifar; Ibrahim Faiek Abdulhadi (SMC, 2022)

The DeMaDs Open Source Modeling Framework for Power System Malfunction Detection. - David Fellner; Thomas I. Strasser; Wolfgang Kastner (OSMSES, 2023)

Data-Driven Misconfiguration Detection in Power Systems With Transformer Profile Disaggregation. - David Fellner; Thomas I. Strasser; Wolfgang Kastner (IEEE Access, 2023)

An Operational Data-Driven Malfunction Detection Framework for Enhanced Power Distribution System Monitoring - The DeMaDs Approach. - David Fellner; Thomas I. Strasser; Wolfgang Kastner; Behnam Feizifar; Ibrahim Faiek Abdulhadi (CoRR, 2023)