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.

 

Fühler im Netz 2.0

„Fühler im Netz 2.0“ baut auf den Ergebnissen des Projektes „Fühler im Netz“ (FiN) (Projektzeitraum 2014 bis 2017) auf und legt den Fokus darauf, die Möglichkeiten zur Anlagen- und...

To the research project
AI for Mobility, Logistic and Energy

The goal of KI-mobil is the realization of an AI-supported software platform for disruptive, resource-saving and high-performance mobility concepts, which intelligently combines individual and public...

To the research project

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz