Max Domagk

Max Domagk

Research Associate

TUD Dresden University of Technology

I work as a postdoctoral researcher at the Institute of Electrical Power Systems and High Voltage Engineering, TUD Dresden University of Technology, in the Power Quality research group of Prof. Jan Meyer.

Electrical Engineering
Data Science
R

Research

My research is broadly focused on Electrical Power Systems, with a specific emphasis on Power Quality aspects, such as voltage and current distortion. Recent changes, such as the increase in renewable energy sources and the large-scale introduction of electric vehicles, have significantly impacted Power Quality. As a result, network operators are increasingly installing extensive measurement systems to closely monitor their networks, leading to vast amounts of data. In my research, I employ data analysis and data mining methods to efficiently analyze this data and extract valuable insights. By doing so, I aim to contribute to identifying Power Quality issues, the optimization of system performance, and the overall enhancement of the reliability of Electrical Power Systems.

Current research project:

Multivariate Methods
Project on new methods for multivariate analysis of Power Quality measurements
Multivariate Methods

Publications

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(2025). Integration of Clustering Techniques in Probabilistic Current and Voltage Harmonic Forecasting. IEEE Transactions on Power Delivery.

DOI

(2025). Survey of Harmonic Voltage and Current Unbalance in the German Transmission System based on Field Measurements considering Measurement Uncertainty. NEIS 2025; Conference on Sustainable Energy Supply and Energy Storage Systems.

(2025). Uncertainty in the Assessment of Harmonic Voltages and Currents in Sequence Domain. NEIS 2025; Conference on Sustainable Energy Supply and Energy Storage Systems.

(2025). Determining the Minimum Number of Measurement Sites for Voltage Quality Evaluation in Medium Voltage Networks. 28th International Conference on Electricity Distribution (CIRED 2025).

(2025). Detection and Characterisation of Atypical Harmonic Patterns in Big Power Quality Data. IET Generation, Transmission & Distribution (Open Access).

DOI

Contact

  • max [dot] domagk [at] tu-dresden [dot] de
  • +49 351 463-35223
  • Mommsenstr. 12, 01096 Dresden, Germany
  • Enter Toepler-Bau to Office 101