Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation-Reference-Cited by-同舟云学术

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Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation

Published:2020-11 Issue: Volume: Page:
ISSN:
Container-title:SC20: International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Dong Wenqian,Xie Zhen,Kestor Gokcen,Li Dong

Funder

U.S. Department of Energy

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9355221/9355202/09355288.pdf?arnumber=9355288

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bucketized Active Sampling for learning ACOPF;Electric Power Systems Research;2024-10

2. A Neural Network Approach to Physical Information Embedding for Optimal Power Flow;Sustainability;2024-08-29

3. DC Voltage Prediction based on CNN with Physics Information Embedding for MVDC Distribution Systems;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17

4. Unsupervised Optimal Power Flow Using Graph Neural Networks;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. On the robustness of machine-learnt proxies for security constrained optimal power flow solvers;Sustainable Energy, Grids and Networks;2024-03

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