Energy Flexibility Management and Optimization
Our team, Energy Management Systems and Data Analytics (EMSDA), deals with the topic of how energy flows can be cleverly controlled to achieve higher system efficiency. We are working on questions of how measurement data and control signals can be reliably and securely communicated, stored and processed in the context of the smart grid. For this purpose, we develop systems which can process and evaluate large amounts of data. We cover a wide range of IT topics, from the development of platforms for energy-related use cases to IT security, data and information models. As a research team with IT focus in the energy sector, we understand both research areas and create synergy effects within the digitalization of the energy sector.
Team Leader: Gianluca Lipari
|Topic and Description||Type of Thesis||Language||Contact|
|Game-Theoretical Cooperativity Function for an Energy Management Concept at City-District Level||Bachelor/Master||en/de||Ivelina Stoyanova|
|Automated modelling, simulation, and assessment of flexibility options for an effective distribution grid operation||Bachelor/Master||en/de||Sebastian Schwarz|
|Optimal retraining interval for a Machine-learning based grid load forecast||Bachelor||en/de||Gonca Gürses-Tran|
|Enhancement of Distributed Mixed-Integer Programming Algorithms for Energy Management Purposes||Bachelor/Master||en/de||Sebastian Schwarz|