9 citations · 18 across the 2 of their papers we have counts for
2 papers
eess.SY2020★ 9 cited
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
Xingyu Lei, Zhifang Yang, Juan Yu +3
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…
eess.SP2019★ 9 cited
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.…