3 citations · 4 across the 4 of their papers we have counts for
4 papers
Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network
Mei Yang, Gao Qiu andJunyong Liu, Kai Liu
This letter proposes a few-shot physics-guided spatial temporal graph convolutional network (FPG-STGCN) to fast solve unit commitment (UC). Firstly, STGCN is tailored to parameteri…
Renewable energy exporting consumption-oriented transfer limit switching control: A unsupervised learning-based method
Gao Qiu, Haojin Peng, Youbo Liu +2
A method for generating unsupervised conditional mapping rules for multi-inter-corridor transfer limits and their integration into unit commitment through banding-switching is prop…
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis
Mei Yang, Gao Qiu, Yong Wu +5
The increasing scale of alternating current and direct current (AC/DC) hybrid systems necessitates a faster power flow analysis tool than ever. This letter thus proposes a specific…
Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints
Gao Qiu, Youbo Liu, Junyong Liu +4
The increased penetration of wind power introduces more operational changes of critical corridors and the traditional time-consuming transient stability constrained total transfer…