As research group Digitalized Energy Systems, we investigate how digital technologies, data-driven methods, and intelligent algorithms can support the transition toward sustainable, resilient, and flexible energy systems. We address challenges emerging from the growing integration of renewable energy sources and decentralized energy resources into future energy infrastructures. In our research projects and above, we focus particularly on:

• Digital solutions for future energy systems, including advanced data analytics and intelligent algorithms to enable sustainable and resilient energy infrastructures;
• Optimization and AI-based coordination approaches that support the operation of decentralized, intelligent grids and energy markets, including decentralized flexibility options such as batteries, heat pumps, electric vehicles, and prosumer households;
• Open Science in energy research, with a particular focus on FAIR data and research software, including metadata standards, interoperable ontologies, and simulation tools to foster efficient and reproducible research in energy systems. In this context, we improve data availability and quality in energy research through NFDI4Energy. As part of the project ConnOSS, we develop an infrastructure to improve the management, visibility, and reuse of research software.

As research group Digitalized Energy Systems, we are committed to transparent and open science — Open Science — which makes scientific findings in energy research freely available where aspects of data protection, intellectual property rights of industry partners or security concerns do not hinder it. This opens up new opportunities for science, society, and industry in engaging with scientific knowledge. Scientific methods, data, and publications should be shared to further enhance research quality. Thereby, we adhere to the guidelines for good scientific practice established by the German Research Foundation (DFG). We endorse the Open Science Declaration of the Zukunftslabor Energie for all our research projects and publish as many intermediate steps of our research as possible — for example, literature comparisons in the ORKG.

Our publications are largely published as Open Access, making them accessible to everyone. We make our research software, for instance, for simulations, available under open source licenses whenever possible. We also publish our research data as Open Data.