Mahmoud Draz

Mahmoud DrazTelefon - Mahmoud Draz +49 30 - 314-74050
E-Mail - Mahmoud Draz E-Mail

Research Areas

Power System Stability
Power Quality
Uncertain Optimization

Current Projects


Other Activities

Lehrveranstaltung: Smart Energy Systems
Betreuung von Bachelor- und Masterarbeiten im Bereich Smart Energy Systems

Personal Note

In my current position as a researcher at DAI Labor, I develop methods to analyze and predict the stability of nonlinear systems and dynamics of power generation and demand. In particular, I use AI methods to quantify the effects of generation uncertainties on the transient stability of power systems. Parallel to this research, I have developed and teach a Master’s course on smart energy systems for the Computer Science, Energy Engineering and Electrical Engineering department programs, which focuses on the use of machine learning methods and optimization techniques.



A Power Demand Estimator for Electric Vehicle Charging Infrastructure
Mahmoud Draz, Sahin Albayrak
In: IEEE PES PowerTech Conference; 2019

Optimal Energy Supply Scheduling for a Single Household: Integrating Machine Learning for Power Forecasting
Thomas Buechler, Fabian Pagel, Thibault Petitjean, Mahmoud Draz, Sahin Albayrak
In: IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe); 2019

A Framework for Integrating Intelligent Mobile Energy Storage into Energy Distribution Systems
Lara-Sophie Christmann, Claudia Offel, Luisa Rahn, Nikhil Singh, Lucie Géhin, Gai Hang, Asma Safaya, Mahmoud Draz, Sahin Albayrak
In: IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe); 2019


The Impact of Electric Vehicles on Low Voltage Grids: A Case Study of Berlin
Mahmoud Draz, Marcus Voß, Daniel Freund, Sahin Albayrak
In: 20th Power Systems Computation Conference (PSCC); 2018