{"id":12,"date":"2024-04-02T11:35:59","date_gmt":"2024-04-02T09:35:59","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/rl4ces\/?page_id=12"},"modified":"2025-08-15T13:11:21","modified_gmt":"2025-08-15T11:11:21","slug":"home","status":"publish","type":"page","link":"https:\/\/rl4ces.de\/en\/","title":{"rendered":"Home"},"content":{"rendered":"
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Reinforcement Learning for Cognitive Energy Systems<\/p>\n<\/div><\/div>\n\n\n\n

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Advancing Reinforcement Learning in the Energy Industry<\/h2>\n\n\n\n
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We, the junior research group, RL4CES - Reinforcement Learning for Cognitive Energy Systems,<\/strong><\/em>aim to realize the potential of Deep Reinforcement Learning (Link DRL) in the context of the energy system.<\/p>\n\n\n\n

With our Research<\/a> we seek to make Deep Reinforcement Learning safer, more effective and more cost-effective for the energy industry and thus make a significant contribution to a stable and resilient energy system.<\/p>\n\n\n\n

The focus of our application is on the topics of automated grid control and automated energy trading.<\/p>\n<\/div>\n\n\n\n

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News-Feed<\/h2>\n\n\n\n