Environment & Energy

The success of the energy revolution depends to a large extent on the digitalization of the increasingly complex energy networks. AI technologies have enormous potential for predicting energy demand, analyzing the relevant mass data and optimizing the interaction between generation, network, storage and consumption. To this end, concepts and solutions are developed to establish process models for critical infrastructures in the energy sector and to implement them in a secure integrated data and service platform. Forecasting methods based on these models support a secure energy supply and the security of energy systems.


Future Smart Energy

FUSE explores and demonstrates the application of technologies based on artificial Intelligence to increase the resilience and stability of the future energy grid and support the incorporation of an...

To the research project
Robotersystem für die Dekontamination in menschenfeindlichen Umgebungen

ROBDEKON stands for "Robot systems for decontamination in hostile environments" and is dedicated to research in the field of autonomous or semi-autonomous robot systems. It is coordinated by the...

To the research project

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence