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Journal Articles
- 2024
[j6]Xiaodong Shen
, Huixin Liu, Gao Qiu, Youbo Liu, Junyong Liu, Shixiong Fan:
Interpretable Interval Prediction-Based Outlier-Adaptive Day-Ahead Electricity Price Forecasting Involving Cross-Market Features. IEEE Trans. Ind. Informatics 20(5): 7124-7137 (2024)- [j5]Mei Yang, Gao Qiu, Junyong Liu, Youbo Liu, Tingjian Liu, Zhiyuan Tang, Lijie Ding, Yue Shui, Kai Liu:
Topology-Transferable Physics-Guided Graph Neural Network for Real-Time Optimal Power Flow. IEEE Trans. Ind. Informatics 20(9): 10857-10872 (2024) - [j4]Yongdong Chen, Youbo Liu, Hang Yin, Zhiyuan Tang, Gao Qiu, Junyong Liu:
Multiagent Soft Actor-Critic Learning for Distributed ESS Enabled Robust Voltage Regulation of Active Distribution Grids. IEEE Trans. Ind. Informatics 20(9): 11069-11080 (2024) - [j3]Zetao Wei, Xiaodong Shen, Gao Qiu, Youbo Liu, Junyong Liu:
An Integrated Transfer Learning Method for Power Generation Prediction of Run-Off Small Hydropower in Data-Scarce Areas. IEEE Trans. Smart Grid 15(1): 1030-1041 (2024) - [j2]Zhiyuan Tang, Youbo Liu, Tingjian Liu, Gao Qiu, Junyong Liu:
Distributed Data-Driven Frequency Control in Networked Microgrids via Voltage Regulation. IEEE Trans. Smart Grid 15(5): 4393-4406 (2024) - 2019
- [j1]Gao Qiu, Junyong Liu, Youbo Liu, Tingjian Liu, Gang Mu:
Ensemble Learning for Power Systems TTC Prediction With Wind Farms. IEEE Access 7: 16572-16583 (2019)
Conference and Workshop Papers
- 2021
- [c2]Fei Xue, Hongqiang Li, Jili Wang, Gao Qiu, Junyong Liu, Youbo Liu, Tingjian Liu, Tianxiang Wang:
A Deep Reinforcement Learning-Based Real-Time Control for Transfer Limits of Critical Inter-Corridors. EEET 2021: 122-127 - 2020
- [c1]Gao Qiu, Youbo Liu, Junyong Liu, Lixiong Xu:
Deep Learning Based TTC Predictor for Power Systems with Wind Energy Integration. ISGT-Europe 2020: 439-443
Informal and Other Publications
- 2024
- [i5]Gao Qiu, Haojin Peng, Youbo Liu, Tingjian Liu, Junyong Liu:
Renewable energy exporting consumption-oriented transfer limit switching control: A unsupervised learning-based method. CoRR abs/2401.14949 (2024) - [i4]Mei Yang, Gao Qiu, Junyong Liu, Kai Liu:
Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network. CoRR abs/2405.01200 (2024) - 2023
- [i3]Mei Yang, Gao Qiu, Yong Wu, Junyong Liu, Nina Dai, Yue Shui, Kai Liu, Lijie Ding:
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis. CoRR abs/2305.00216 (2023) - [i2]Wenwen Zhang, Gao Qiu, Hongjun Gao, Tingjian Liu, Junyong Liu, Yaping Li, Shengchun Yang, Jiahao Yan, Wenbo Mao:
Two stage Robust Nash Bargaining based Benefit Sharing between Electric and HCNG Distribution Networks Bridged with SOFC. CoRR abs/2310.05999 (2023) - 2020
- [i1]Gao Qiu, Youbo Liu, Junyong Liu, Junbo Zhao, Lingfeng Wang, Tingjian Liu, Hongjun Gao:
Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints. CoRR abs/2006.16186 (2020)
Coauthor Index
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