Cross-sectoral energy systems

Use of AI methods and models in energy management

Time Series Analysis and Optimization Identification
Data preparation - anomaly and perturbation detection of time series data
Forecasting (cross-media for consumption, supply and special use cases)
Optimization and modeling of cross-sector energy systems (including power plant and resource dispatch, procurement, direct marketing, storage management, virtual power plants, controlled charging of electric vehicles)
Use of AI for automation and scaling
Creation of a Fraunhofer knowledge base

Research cooperations
Consulting services
Design, development and testing of specific prediction and optimization models
Testing, design and development of use case specific AI applications for automation and scaling of processes relevant to the energy industry
Advanced training as Energy Data Scientist