AProSys

In the joint project AProSys - AI-supported assistance and forecasting systems for sustainable use in intelligent distribution grid technology - a consortium from research and industry is investigating the digitalization of the energy transition.

One of the major challenges of the energy and mobility transition is to continue to guarantee the security of energy supply for the economy and society in Germany. It is strategically important to increase the reliability of the distribution grid with the accompanying digitalization of operating resources so that grid operators can flexibly counter potential outages in advance in the long term.

The AProSys project uses artificial intelligence (AI) to transform the pure condition monitoring of individual energy technology systems into a cognitive assistance system as the next logical step in digitalization. The technical robustness and resilience of the supply system requires a future-oriented forecast for grid components. For the concept, which has not yet been researched in the context of grid technology, it is necessary that the cognitive assistance systems can digitally support employees in activities directly on the systems with prioritized recommendations and instructions for action.

News from the pro­ject

Im Rahmen des Projekts AProSys fand ein Workshop zum Einsatz von künstlicher Intelligenz (KI) im Netzbetrieb bei der Westfalen Weser Netz GmbH statt. Im Projekt AProSys steht das Ziel im Vordergrund, Wissen systematisch zu erfassen, verfügbar zu machen und für die Instandhaltung und Wartung von Mittelspannungslasttrennschaltern nutzbar zu machen.

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More about AProSys

About AProSys

The goals, challenges and structure of AProSys.

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Pro­ject Team

The team behind the project.

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Part­ner

Research Institute for Rationalisation (FIR) at RWTH Aachen University

Associated partner

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Karlsruhe Institute of Technology (KIT)

Associated partner

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SICP - Software Innovation Campus Paderborn

Associated partner

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Westfalen Weser Netz GmbH

Associated partner

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Con­tact us

Daniel Beverungen

> Key research area Intelligent Technical Systems

Professor - Digital Service, Smart Service, Business Process Management, Process Mining, Digital Platforms and Data Spaces, Enterprise Systems

Office: Q2.313
Phone: +49 5251 60-5600
E-mail: daniel.beverungen@uni-paderborn.de

Oliver Müller

Office: Q2.457
Phone: +49 5251 60-5100
E-mail: oliver.mueller@uni-paderborn.de

Key Facts

Duration: January 2023 - December 2025
Total funding volume: €3,224,713
Funding volume of the university: 562,782.50€

Spon­sors

This project is sponsored by the Federal Ministry for Economic Affairs and Climate Protection on the basis of a resolution passed by the German Bundestag.