Fields of Application

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.

News

Am 17. Juni 2022 findet in Oldenburg die „Lange Nacht der Digitalisierung“ statt. Dafür öffnen zahlreiche Oldenburger Firmen und…

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In the new episode of the podcast "Technology and the Sea - Fascination with Marine Technology" by Bärbel Fening in cooperation with the Gesellschaft…

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DFKI-Forschungsbereich „Smarte Daten & Wissensdienste“ (SDS) an Projekt für Hochwasservorsorgemaßnahmen beteiligt

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Projects

AI-based system analysis of power distribution networks in normal and short-circuit operation - AI-based System Analysis and Assistance System

The goals of the GridAnalysis research project are the development of new models and methods for quasi-stationary and time-series-based simulation of power distribution grids in combination with…

Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

The TAILOR project was selected by the European Commission in the ICT-48-2020 call for proposals "Towards a vibrant European network of AI excellence centres" to form a strong research network of…

Explaining AI with Narratives

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

Maritime Traffic Emissions: A monitoring network

Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traffic are a severe threat to the marine environment and coastal…

PlaMoWa-Europa-MtecPla. Missions- und Pfadplanungsverfahren.

Development of monitoring techniques for the automated evaluation and visualization of marine plastics garbage on the seefloor

Partners

  • Planblue GmbH
  • Kurt Synowzik Werkzeug u. Maschinenbau GmbH & Co.…
SmartRecycling - AI and Robotics for a sustainable circular economy

Partners

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)

Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH

Hochschule für Angewandte Wissenschaften Hamburg…

Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen
Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins.

A Digital Twin is the virtual representation of a product, system or process that simulates its physical…

Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

Remote sensing data from various space missions as well as geodata on the state of the environment are increasingly available free of charge in immense quantities.At the same time, social media…

Artificial intelligence records plastic pollution of rivers in Cambodia and Myanmar

Latest research results indicate that most of the plastic waste is transported via waterways of more than 100 km², making rivers to the main routes for plastic waste to the oceans. This has prompted…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz