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

Our offer to you:

  • 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