Thanks to artificial intelligence (AI), the energy transition can be realized more easily. In addition, AI agents will be able to automate complex control processes that are currently still difficult for humans and technology to manage. These are the findings of the Fraunhofer Institute for Energy Economics and Energy System Technology IEE. In a three-year research program, the researchers at the Competence Center Cognitive Energy Systems (K-ES) have investigated the benefits of AI in various areas of energy supply, such as energy management, energy trading and grid operation.
According to the researchers, the use of AI in the energy industry offers promising approaches for driving forward the energy transition. "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 automatically," says Reinhard Mackensen, Institute Director at Fraunhofer IEE. The research project focused on 44 projects in which the researchers developed solutions for the entire value chain.
AI agents could not only reliably determine the status of energy systems, but also optimize themselves independently. This is the case in automated energy trading, for example. "With AI as a key technology for grid management and the management of generation and consumption, the energy transition can be implemented more safely and cost-effectively," says André Baier, co-project manager at Fraunhofer IEE. The researchers are confident that AI could also make it possible to automate the electricity grid in the future.
Source and further information: iee.fraunhofer.de
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