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

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

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…