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Reinforcement Learning-Based Solution to Power Grid Planning and Operation Under Uncertainties.

, , , , , , и . MLHPC/AI4S@SC, стр. 72-79. IEEE, (2020)

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Xunxing Diao

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Другие публикации лиц с тем же именем

Comparative Implementation of High Performance Computing for Power System Dynamic Simulations., , , , и . IEEE Trans. Smart Grid, 8 (3): 1387-1395 (2017)On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control., , , , , , , , и . CoRR, (2020)Towards more transmission asset utilization through real-time path rating., , , , , и . SmartGridComm, стр. 779-784. IEEE, (2013)GridPACK™: a framework for developing power grid simulations on high performance computing platforms., , , , , , , , , и 1 other автор(ы). WOLFHPC@SC, стр. 68-77. IEEE Computer Society, (2014)Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning., , , , , и . CoRR, (2019)Deriving Fast AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation., , , , , , , и . CoRR, (2020)Predictive Dynamic Simulation for Large-Scale Power Systems through High-Performance Computing., , и . SC Companion, стр. 347-354. IEEE Computer Society, (2012)A HEM-Based Sensitivity Analysis Method for Fast Voltage Stability Assessment in Distribution Power Network., , , и . IEEE Access, (2021)Rethink AI-based Power Grid Control: Diving Into Algorithm Design., , , , , и . CoRR, (2020)Reinforcement Learning-Based Solution to Power Grid Planning and Operation Under Uncertainties., , , , , , и . MLHPC/AI4S@SC, стр. 72-79. IEEE, (2020)