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Real-Time Dispatching Performance Improvement of Multiple Multi-Energy Supply Microgrids Using Neural Network Based Approximate Dynamic Programming

机译：基于神经网络的近似动态规划，多次多能量供应微普林的实时调度性能改进

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Bei Li; Robin Roche;
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年度 2021
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3. Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning [J] . Zeng Peng, Li Hepeng, He Haibo, Smart Grid, IEEE Transactions on . 2019,第4期

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4. Decentralized Robust Optimization for Real-time Dispatch of Power System Based on Approximate Dynamic Programming [C] . Chenxi Wang, Jianquan Zhu, Tao Zhu International Conference on Power System Technology . 2018

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5. Improving the Computational Efficiency of Approximate Dynamic Programming Using Neural Networks, with Application to a Multi-Reservoir Hydropower and Wind Power System [D] . Perline, Kyle Robert. 2017

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7. Dynamic Economic Dispatch for Microgrid Based on the Chance-Constrained Programming [O] . Daizheng Huang, Lingling Xie, Zhihui Wu 2017

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8. Approximate Dynamic Programming Mode for Optimal MEDEVAC Dispatching. [R] . Rettke, A. J. 2015

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Real-Time Dispatching Performance Improvement of Multiple Multi-Energy Supply Microgrids Using Neural Network Based Approximate Dynamic Programming

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