Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions S Liu, C Wu, H Zhu IEEE Transactions on Power Systems 38 (6), 5660 - 5670, 2022 | 25 | 2022 |
Graph Neural Networks for Learning Real-Time Prices in Electricity Market S Liu, C Wu, H Zhu ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 | 10 | 2021 |
Risk-aware learning for scalable voltage optimization in distribution grids S Lin, S Liu, H Zhu Electric Power Systems Research 212, 108605, 2022 | 8 | 2022 |
A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data S Liu, H Zhu, V Kekatos arXiv preprint arXiv:2104.05614, 2021 | 4 | 2021 |
A posteriori error control for three typical force-based atomistic-to-continuum coupling methods for an atomistic chain H Wang, S Liu, F Yang Numer. Math. Theor. Meth. Appl. 12, 233-264, 2018 | 3 | 2018 |
Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network YH Cho, S Liu, H Zhu, D Lee 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 1 | 2023 |
Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study S Liu, H Zhu, V Kekatos HICSS56, 2022 | 1 | 2022 |
A Functional Package for Automatic Solution of Ordinary Differential Equations with Spectral Methods S Liu, T Wang, Y Zhang arXiv preprint arXiv:1608.04815, 2016 | 1 | 2016 |
Data-driven Forced Oscillation Localization using Inferred Impulse Responses S Liu, H Zhu, V Kekatos arXiv preprint arXiv:2310.01656, 2023 | | 2023 |
Probabilistic Analysis of Masked Loads with Aggregated Photovoltaic Production S Liu, DA Maldonado, EM Constantinescu Electric Power Systems Research 189 (SI: Proceedings of the 21st Power …, 2020 | | 2020 |
基于能量多体作用的原子/连续耦合方法的后验误差估计 何杰, 王皓, 胡兵, 刘少晖 四川大学学报: 自然科学版 54 (5), 895-904, 2017 | | 2017 |
Backward-Skip String Matching Algorithm and Its Parallel Implementation with CUDA Y Zhang, T Wang, S Liu, M Li | | |