Trading in energy has so far been a domain for pros. This could change with the help of machines. Other stakeholders might then also become more interested in the electricity exchange. In the Deep Energy Trade project, a demonstrator shows how intelligent automated electricity trading can work.

The self-learning agent is capable of developing efficient trading strategies and successfully implementing them on the power exchange. Deep reinforcement learning (DRL) reduces costs while also facilitating access for market participants who only want to sell or buy small volumes of energy.


Dr. Christoph Scholz


Fraunhofer IEE

+49 (0) 561 7294-427

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