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Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control Power grid operators face increasing difficulties in the control room as the increase in energy demand and the shift to renewable energy introduce new complexities in managing congestion and maintaini...

Great paper on #reinforcementlearning in power grid optimization by #enliteAI. This is AI thats actually generating a benefit for society. The advantages of #RL scaled to to real-world use cases.

arxiv.org/abs/2502.00034

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Powergrid Congestion Management with Model-based Reinforcement Learning
Powergrid Congestion Management with Model-based Reinforcement Learning YouTube video by AAIC - Applied AI Conference

#enliteAI is a startup for #smartgrid redispatch and real-time control. Using RL at various steps of the process of managing a power network, they show a way to incorporate AI into actual control rooms of TSOs.

youtube.com/watch?v=0zqSAsj_86I (1)

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