Cascading failure analysis based on a physics-informed graph neural network Y Zhu, Y Zhou, W Wei, N Wang IEEE Transactions on Power Systems 38 (4), 3632-3641, 2022 | 13 | 2022 |
Real-time cascading failure risk evaluation with high penetration of renewable energy based on a graph convolutional network Y Zhu, Y Zhou, W Wei, L Zhang IEEE Transactions on Power Systems 38 (5), 4122-4133, 2022 | 11 | 2022 |
Identification method of cascading failure in high-proportion renewable energy systems based on deep learning Y Zhu, X Liu, B Chen, D Sun, D Liu, Y Zhou Energy Reports 8, 117-122, 2022 | 7 | 2022 |
A terminal distribution network black-start optimization method based on pruning algorithm considering distributed generators Y Zhu, Y Zhou, Z Wang, C Zhou, B Gao Energy Reports 8, 237-244, 2022 | 5 | 2022 |
Real‐time risk assessment of cascading failure in power system with high proportion of renewable energy based on fault graph chains B Chen, D Sun, Y Zhu, D Liu, Y Zhou Engineering Reports 5 (10), e12631, 2023 | 2 | 2023 |
Data-driven multi-energy flow calculation method for integrated energy system Y Zhu, Y Zhou 2023 IEEE 6th International Electrical and Energy Conference (CIEEC), 501-505, 2023 | 2 | 2023 |
Resilience-Oriented Extreme Weather Conditional Renewable Scenario Generation Based on Diffusion Models and Few-shot Learning Y Zhu, Y Zhou, Y Xia, W Wei Authorea Preprints, 2023 | 1 | 2023 |
GNNs' Generalization Improvement for Large-scale Power System Analysis Based on Physics-informed Self-supervised Pre-training Y Zhu, Y Zhou, W Wei Authorea Preprints, 2024 | | 2024 |
Emergent Abilities of Graph Neural Networks for Large-scale Power System Analysis Y Zhu, Y Zhou, L Yan, Z Li, H Xin, W Wei Authorea Preprints, 2024 | | 2024 |
Inter‐day energy storage expansion framework against extreme wind droughts based on extreme value theory and deep generation models Y Zhu, Y Dan, L Wang, L Yan, Y Zhou, W Wei IET Renewable Power Generation, 2024 | | 2024 |
Integrating Knowledge-based and Data-driven Approaches for TTC Assessment in Power Systems with High Renewable Penetration Y Zhu, Y Dan, L Wang, Y Zhou, W Wei IEEE Transactions on Power Systems, 2023 | | 2023 |
Post-disturbance trajectory prediction and transient stability assessment based on a physics-informed machine learning algorithm Y Dan, Y He, H Zhou, Y Zhu, Y Zhou Third International Conference on Mechanical, Electronics, and Electrical …, 2023 | | 2023 |