Прати
Yufei Tang
Наслов
Навело
Навело
Година
Q-learning-based vulnerability analysis of smart grid against sequential topology attacks
J Yan, H He, X Zhong, Y Tang
IEEE Transactions on Information Forensics and Security 12 (1), 200-210, 2016
2912016
Stacked multilevel-denoising autoencoders: A new representation learning approach for wind turbine gearbox fault diagnosis
G Jiang, H He, P Xie, Y Tang
IEEE Transactions on Instrumentation and Measurement 66 (9), 2391-2402, 2017
2822017
Stochastic optimization of economic dispatch for microgrid based on approximate dynamic programming
H Shuai, J Fang, X Ai, Y Tang, J Wen, H He
IEEE Transactions on Smart Grid 10 (3), 2440-2452, 2018
2812018
Cascading Failure Analysis With DC Power Flow Model and Transient Stability Analysis
J Yan, Y Tang, H He, Y Sun
Power Systems, IEEE Transactions on, 1-13, 2014
2512014
Improved sliding mode design for load frequency control of power system integrated an adaptive learning strategy
C Mu, Y Tang, H He
IEEE Transactions on Industrial Electronics 64 (8), 6742-6751, 2017
2392017
Power system stability control for a wind farm based on adaptive dynamic programming
Y Tang, H He, J Wen, J Liu
IEEE Transactions on Smart Grid 6 (1), 166-177, 2014
1962014
Energy-Storage-Based Low-Frequency Oscillation Damping Control Using Particle Swarm Optimization and Heuristic Dynamic Programming
X Sui, Y Tang, H He, J Wen
Power Systems, IEEE Transactions on, 1-10, 2014
1862014
Load frequency control in isolated micro-grids with electrical vehicles based on multivariable generalized predictive theory
J Yang, Z Zeng, Y Tang, J Yan, H He, Y Wu
Energies 8 (3), 2145-2164, 2015
1842015
An event-triggered approach for load frequency control with supplementary ADP
L Dong, Y Tang, H He, C Sun
IEEE Transactions on Power Systems 32 (1), 581-589, 2017
1772017
Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization
Y Tang, P Ju, H He, C Qin, F Wu
Smart Grid, IEEE Transactions on 4 (1), 509 - 520, 2013
1732013
Multi-class imbalanced graph convolutional network learning
M Shi, Y Tang, X Zhu, D Wilson, J Liu
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
1632020
Resilience analysis of power grids under the sequential attack
Y Zhu, J Yan, Y Tang, YL Sun, H He
IEEE Transactions on Information Forensics and Security 9 (12), 2340-2354, 2014
1362014
Reactive power control of grid-connected wind farm based on adaptive dynamic programming
Y Tang, H He, Z Ni, J Wen, X Sui
Neurocomputing 125, 125-133, 2014
1212014
A deep imbalanced learning framework for transient stability assessment of power system
B Tan, J Yang, Y Tang, S Jiang, P Xie, W Yuan
Ieee Access 7, 81759-81769, 2019
982019
Functional and contextual attention-based LSTM for service recommendation in mashup creation
M Shi, J Liu
IEEE Transactions on Parallel and Distributed Systems 30 (5), 1077-1090, 2018
842018
Genetic-gnn: Evolutionary architecture search for graph neural networks
M Shi, Y Tang, X Zhu, Y Huang, D Wilson, Y Zhuang, J Liu
Knowledge-based systems 247, 108752, 2022
762022
Deep learning-aided cyber-attack detection in power transmission systems
D Wilson, Y Tang, J Yan, Z Lu
2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018
762018
Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources
Y Tang, J Yang, J Yan, H He
Neurocomputing 170, 406-416, 2015
742015
Joint substation-transmission line vulnerability assessment against the smart grid
Y Zhu, J Yan, Y Tang, YL Sun, H He
IEEE transactions on Information Forensics and Security 10 (5), 1010-1024, 2015
742015
A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles
L He, J Yang, J Yan, Y Tang, H He
Applied energy 168, 179-192, 2016
722016
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