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Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
IISE Transactions ( IF 2.6 ) Pub Date : 2023-11-28 , DOI: 10.1080/24725854.2023.2286507 Yuxuan Li 1 , Chaoyue Zhao 2 , Chenang Liu 1
IISE Transactions ( IF 2.6 ) Pub Date : 2023-11-28 , DOI: 10.1080/24725854.2023.2286507 Yuxuan Li 1 , Chaoyue Zhao 2 , Chenang Liu 1
Affiliation
The optimal power flow (OPF) problem, as a critical component of power system operations, becomes increasingly difficult to solve due to the variability, intermittency, and unpredictability of rene...
中文翻译:
用于学习最优潮流的模型知情生成对抗网络 (MI-GAN)
最优潮流(OPF)问题作为电力系统运行的关键组成部分,由于再生的可变性、间歇性和不可预测性而变得越来越难以解决。
更新日期:2023-11-29
中文翻译:
用于学习最优潮流的模型知情生成对抗网络 (MI-GAN)
最优潮流(OPF)问题作为电力系统运行的关键组成部分,由于再生的可变性、间歇性和不可预测性而变得越来越难以解决。