Fraunhofer Center Digital EnergyData is the key to a successful energy transition. It enables transparency in grid operations, optimization of plants and markets, and the development of new services and business models. However, data in energy systems is often distributed, heterogeneous, and sensitive. We develop data models and technologies to make this potential usable and secure.
Key Focus Areas
- Development and application of standardized data models for energy systems
- Creation of digital twins for grids, plants, and processes
- Use of AI methods for forecasting, pattern recognition, and decision support
- Development of AI testing methods for integrating AI applications into critical infrastructures
- Visualization of large datasets for planners, operators, and decision-makers as part of municipal heat planning
Your Benefits
- Efficient data integration across company and system boundaries
- Improved decision-making bases for grid operations and market processes
- Accelerated innovation cycles through usable and trustworthy data