Fraunhofer IEE: Artificial intelligence can advance the energy transition

The Fraunhofer Institute for Energy Economics and Energy System Technology IEE of Kassel, Germany, has completed the »K-ES« (cognitive energy systems) research project funded by the Hessian state government. The conclusion: the energy transition will be easier to realize with artificial intelligence (AI). So-called AI agents can take over complex control processes that would not be possible with the current staffing and technology, according to a key finding. The advantages of AI were examined in particular for grid operation, forecasting, resilience, power electronics, energy management, energy trading and other future fields of energy supply.
»In a decentralised energy system based on renewable energies, generation and consumption can no longer be matched as easily as before. In order to coordinate the complex processes in real time, the energy system must develop an awareness of its own state and be able to react in an automated manner,« explains Reinhard Mackensen, Institute Director at Fraunhofer IEE.
K-ES has focused on 44 spotlight projects to show examples of the processes for which AI is useful in the energy sector. Around 50 scientists have developed solutions for the entire value chain.
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