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.

 

EnEff:Bremerhaven - Smart Concepts for Sustainable Energy in Ports

Seven partners from research and industry have come together in SHARC to develop innovative concepts for sustainable energy management in port areas.

Among others, the integration of renewable energy...

To the research project
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

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz