4 citations · 4 across the 2 of their papers we have counts for
2 papers
math.OC2025
A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback
Heng Liang, Yujin Huang, Changhong Zhao
The increasing penetration of distributed energy resources (DERs) adds variability as well as fast control capabilities to power networks. Dispatching the DERs based on local infor…
cs.LG2023★ 4 cited
DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks
Heng Liang, Changhong Zhao
The traditional machine learning models to solve optimal power flow (OPF) are mostly trained for a given power network and lack generalizability to today's power networks with vary…