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20192022
most citedData-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach

9 citations · 10 across the 3 of their papers we have counts for

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eess.SP2019★ 1 cited

Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach

Yan Yang, Juan Yu, Zhifang Yang +2

Probabilistic optimal power flow (POPF) is an important analytical tool to ensure the secure and economic operation of power systems. POPF needs to solve enormous nonlinear and non…

eess.SP2019

Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach

Yan Yang, Zhifang Yang, Juan Yu +1

Probabilistic power flow (PPF) plays a critical role in power system analysis. However, the high computational burden makes it challenging for the practical implementation of PPF.…