Support for AI projects in the field of energy

Target group

Companies (of any size) and research institutes with applications in the field of energy

Your requirements

You have an energy-related issue that you would like to address with the help of AI. You are seeking assistance from experienced professionals to aid in the implementation.

Our offer

We can assist you in implementing an AI solution and offer advice or active support for your project as needed. Our services are designed for both first-time AI users and those looking to tackle more complex applications.

Possible use-cases vary and include anomaly detection, predictive maintenance, power generation and consumption forecasting, power grid simulation and optimization, and energy storage system optimization.

Our services offer support with:

  • evaluating the available data
  • data preparation and advice on useful features
  • selecting appropriate AI methods
  • developing and implementing AI methods
  • training AI models
  • evaluating trained models and interpreting results
  • best practices for software development, including testing and monitoring
  • troubleshooting
  • transferring and utilizing AI models in operations

Requirements

For your AI project, you already have initial ideas, an existing data basis and basic knowledge in the fields of AI and software development.

Success stories

As part of the Competence Center for Cognitive Energy Systems, innovative AI solutions for applications in the energy sector have been developed in numerous spotlight projects:
    The successful use of AI methods for power consumption forecasts was recognized by the German Energy Agency (dena) by awarding first place in the Data4Grid Challenge to our team at Fraunhofer IEE:
      As an experienced partner, Fraunhofer IEE provides innovative forecasting solutions and numerous services. We have years of experience working with several transmission system operators and other customers from various industries:

        Service type

        Development

        Contact person

        Dominik Beinert
        Axel Braun

        Planned start date

        2024