Our paper on Data-driven AC OPF solutions using Deep Reinforcement Learning receives Best Paper Award from MPCE.

Our papers “A data-driven” method for fast AC optimal power flow solutions via deep reinforcement learning receives the Best Paper Award for year 2020 from Journal of Modern Power Systems and Clean Energy. Check it out at: https://ieeexplore.ieee.org/document/9275611

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Di Shi
Associate Professor of Electrical and Computer Engineering