Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach

31 May 2020 Xingyu Lei Zhifang Yang Juan Yu Junbo Zhao Qian Gao Hongxin Yu

This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework. SELM has a fast training speed and does not require the time-consuming parameter tuning process compared with the deep learning algorithms... (read more)

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