KIRLI – Artificial Intelligence in Energy Research

In this project, scientists from the Reiner Lemoine Institute are investigating how machine learning and artificial intelligence (AI) methods can support the energy transition. The aim is to find out where AI can be used sensibly in applied energy research.

The project team is analysing the areas of energy research in which AI methods offer added value. To this end, possible fields of application are identified and evaluated according to their benefits for the energy transition. At the same time, the researchers consider the opportunities and risks of AI as a tool for the energy transition.

Building skills and knowledge 

In addition to investigating concrete applications, the project strengthens the methodological expertise at RLI. The work builds on existing RLI projects in which initial AI approaches have been tested. In a follow-up project, selected fields of application are to be transferred into concrete tools.

Contribution to the energy transition 

The project results can help to accelerate the energy transition. The scientists are developing new data-driven methods for analyzing, planning, and optimizing the energy system. Through the critical evaluation of AI methods and open results, it contributes to transparency, knowledge exchange and increased efficiency in energy research.

Project period: November 2025 – January 2026

• Interviews with RLI experts on existing and possible fields of application of machine learning in energy research
• Environmental analysis of already established methods and applications
• Literature research and analysis of interview results