Gao Qiu

According to our database, Gao Qiu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed Data-Driven Frequency Control in Networked Microgrids via Voltage Regulation.

Zhiyuan Tang, Youbo Liu, Tingjian Liu, Gao Qiu, Junyong Liu

IEEE Trans. Smart Grid, September, 2024

Topology-Transferable Physics-Guided Graph Neural Network for Real-Time Optimal Power Flow.

Mei Yang, Gao Qiu, Junyong Liu, Youbo Liu, Tingjian Liu, Zhiyuan Tang, Lijie Ding, Yue Shui, Kai Liu

IEEE Trans. Ind. Informatics, September, 2024

Multiagent Soft Actor-Critic Learning for Distributed ESS Enabled Robust Voltage Regulation of Active Distribution Grids.

Yongdong Chen, Youbo Liu, Hang Yin, Zhiyuan Tang, Gao Qiu, Junyong Liu

IEEE Trans. Ind. Informatics, September, 2024

Interpretable Interval Prediction-Based Outlier-Adaptive Day-Ahead Electricity Price Forecasting Involving Cross-Market Features.

Xiaodong Shen, Huixin Liu, Gao Qiu, Youbo Liu, Junyong Liu, Shixiong Fan

IEEE Trans. Ind. Informatics, May, 2024

An Integrated Transfer Learning Method for Power Generation Prediction of Run-Off Small Hydropower in Data-Scarce Areas.

Zetao Wei, Xiaodong Shen, Gao Qiu, Youbo Liu, Junyong Liu

IEEE Trans. Smart Grid, January, 2024

Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network.

Mei Yang, Gao Qiu, Junyong Liu, Kai Liu

CoRR, 2024

Renewable energy exporting consumption-oriented transfer limit switching control: A unsupervised learning-based method.

Gao Qiu, Haojin Peng, Youbo Liu, Tingjian Liu, Junyong Liu

CoRR, 2024

2023

Two stage Robust Nash Bargaining based Benefit Sharing between Electric and HCNG Distribution Networks Bridged with SOFC.

Wenwen Zhang, Gao Qiu, Hongjun Gao, Tingjian Liu, Junyong Liu, Yaping Li, Shengchun Yang, Jiahao Yan, Wenbo Mao

CoRR, 2023

Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis.

Mei Yang, Gao Qiu, Yong Wu, Junyong Liu, Nina Dai, Yue Shui, Kai Liu, Lijie Ding

CoRR, 2023

2021

A Deep Reinforcement Learning-Based Real-Time Control for Transfer Limits of Critical Inter-Corridors.

Fei Xue, Hongqiang Li, Jili Wang, Gao Qiu, Junyong Liu, Youbo Liu, Tingjian Liu, Tianxiang Wang

Proceedings of the EEET 2021: 4th International Conference on Electronics and Electrical Engineering Technology, Nanjing, China, December 3, 2021

2020

Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints.

Gao Qiu, Youbo Liu, Junyong Liu, Junbo Zhao, Lingfeng Wang, Tingjian Liu, Hongjun Gao

CoRR, 2020

Deep Learning Based TTC Predictor for Power Systems with Wind Energy Integration.

Gao Qiu, Youbo Liu, Junyong Liu, Lixiong Xu

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

2019

Ensemble Learning for Power Systems TTC Prediction With Wind Farms.

Gao Qiu, Junyong Liu, Youbo Liu, Tingjian Liu, Gang Mu

IEEE Access, 2019