The complete conversion of our energy supply to renewable energies is a central challenge of our time and an indispensable contribution to climate protection and energy autonomy. To achieve this, not only must the generation and consumption of energy be reconciled on the market, but energy systems must also be operated reliably and efficiently. With increasing digitalization, the historically evolved energy supply structures are becoming a complex and dynamic cyber-physical energy system in which thousands of components interact with each other. The digital systems must be able to adapt to different operating conditions and compensate for faults in operation as independently as possible, while meeting the requirements and needs of human users in a trustworthy manner.
The DAI group is therefore working on enhancing the distributed components of a cyber-physical energy system with intelligence and autonomy and networking them with each other based on concepts of the so-called Organic Computing. In research and development projects, we investigate the possibilities and limits of self-organising, self-optimising and self-healing cyber-physical energy systems.
In the context of these characteristics of digitalized systems, collectively referred to as "self-x properties," we address the following key issues:
Resilience is a system's ability to quickly restore stable system operation and become more robust to disruptions in the long term.
The ability of agents to learn is a basic prerequisite for adapting system behaviour to new or changing conditions.
The acceptance of autonomously deciding, digitalized systems also depends on their ability to explain decisions in a transparent and comprehensible way. Find out more..
Flexibility is the basis of almost all decision-making processes in digitized energy systems, especially when it comes to the use of decentralized energy plants in the distribution network. Find out more..
As a research group, we are committed to transparent science - Open Science, which makes research results freely and openly available. The artefacts, data and publications we produce should be able to be used collectively and without hurdles in order to improve the quality of research and contribute to progress in society. An essential aspect of this is also the possibility of reproducing research results. Further information..
Schrage, Rico and Tiemann, Paul Hendrik and Niesse, Astrid; SIGENERGY Energy Inform. Rev.; feb / 2023
Lesnyak, Ekaterina and Belkot, Tabea and Hurka, Johannes and Hörding, Jan Philipp and Kuhlmann, Lea and Paulau, Pavel and Schnabel, Marvin and Schönfeldt, Patrik and Middelberg, Jan; Big Data and Cognitive Computing; 2023
Frauke Oest, Emilie Frost, Malin Radtke, Sebastian Lehnhoff; ACM SIGENERGY Energy Informatics Review; 03 / 2023
Malin Radtke, Stefanie Holly and Astrid Nieße; IDC 2023; September / 2023
Wolff, Torge and Nieße, Astrid; Energies; 08 / 2023
Radtke, MalinStucke, ChristophTrauernicht, MalteMontag, CarstenOest, FraukeFrost, EmilieBremer, JörgLehhoff, Sebastian; SSCI 2023; Dezember / 2023
Brandt, Jonathan and Frost, Emilie and Ferenz, Stephan and Tiemann, Paul Hendrik and Bensmann, Astrid and Hanke-Rauschenbach, Richard and Nieße, Astrid; Energy Informatics; 2022
Oest, Frauke and Lehnhoff, Sebastian; ENERGY 2022, The Twelfth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies; Mai / 2022
Tiemann, Paul Hendrik and Nebel-Wenner, Marvin and Holly, Stefanie and Frost, Emilie and Jimenez Martinez, Adrian and Nieße, Astrid; Energy Informatics; 2022
Buchholz, Sebastian and Tiemann, Paul Hendrik and Wolgast, Thomas and Scheunert, Alexandra and Gerlach, Jana and Majumdar, Neelotpal and Breitner, Michael and Hofmann, Lutz and Nieße, Astrid and Weyer, Harmut; Energy Informatics and Electro Mobility ICT; 2021