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Tianzhixi Yin
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Year
Safe Reinforcement Learning for Emergency Load Shedding of Power Systems
TL Vu, S Mukherjee, T Yin, R Huang, J Tan, Q Huang
2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021
92021
Local feature sufficiency exploration for predicting security-constrained generation dispatch in multi-area power systems
Y Sun, X Fan, Q Huang, X Li, R Huang, T Yin, G Lin
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
92018
Transmission line fault location using deep learning techniques
R Fan, T Yin, R Huang, J Lian, S Wang
2019 North American Power Symposium (NAPS), 1-5, 2019
82019
Accelerated deep reinforcement learning based load shedding for emergency voltage control
R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang
arXiv preprint arXiv:2006.12667, 2020
72020
Initial investigation of data mining applications in event classification and location identification using simulated data from minniwecc
T Yin, SS Wulff, JW Pierre, D Duan, DJ Trudnowski, M Donnelly
2016 North American Power Symposium (NAPS), 1-6, 2016
72016
Bridging the gap between laboratory and field experiments in American eel detection using transfer learning and convolutional neural network
T Yin, X Zang, ZJ Hou, P Jacobson, R Mueller, Z Deng
62020
Parameters calibration for power grid stability models using deep learning methods
R Huang, R Fan, T Yin, S Wang, Z Tan
arXiv preprint arXiv:1905.03172, 2019
62019
Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data
X Zang, T Yin, Z Hou, RP Mueller, ZD Deng, PT Jacobson
Remote Sensing 13 (14), 2671, 2021
52021
Scalable voltage control using structure-driven hierarchical deep reinforcement learning
S Mukherjee, R Huang, Q Huang, TL Vu, T Yin
arXiv preprint arXiv:2102.00077, 2021
52021
Learning and fast adaptation for grid emergency control via deep meta reinforcement learning
R Huang, Y Chen, T Yin, Q Huang, J Tan, W Yu, X Li, A Li, Y Du
IEEE Transactions on Power Systems, 2022
42022
Accelerated derivative-free deep reinforcement learning for large-scale grid emergency voltage control
R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang
IEEE Transactions on Power Systems 37 (1), 14-25, 2021
32021
Convolutional neural network and transfer learning for high impedance fault detection
R Fan, T Yin
arXiv preprint arXiv:1904.08863, 2019
32019
A case study on the use of data mining for detecting and classifying abnormal power system modal behaviors
T Yin, SS Wulff, JW Pierre, TJ Robinson
Quality Engineering 31 (2), 314-333, 2019
32019
A New Spectral Estimator for Identifying Dominant Modes and Detecting Events in Power Systems
J Follum, T Yin, B Amidan
2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018
32018
FY18 Discovery Through Situational Awareness: Anomalies, Oscillations, and Classification
BG Amidan, JD Follum, T Yin, NJ Betzsold
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2018
22018
New data-driven approach to bridging power system protection gaps with deep learning
R Fan, T Yin, K Yang, J Lian, J Buckheit
Electric Power Systems Research 208, 107863, 2022
12022
Bridging Power System Protection Gaps with Data-driven Approaches
T Yin, J Lian, J Buckheit, R Fan
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2021
12021
Regional oscillation source localization: Implementation in the ESAMS tool
JD Follum, T Yin, NJ Betzsold
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2020
12020
Big Data Analytic for Cascading Failure Analysis
Y Chen, T Yin, R Huang, X Fan, Q Huang
2019 IEEE International Conference on Big Data (Big Data), 1625-1630, 2019
12019
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery
Y Du, Q Huang, R Huang, T Yin, J Tan, W Yu, X Li
IEEE Transactions on Power Systems, 2021
2021
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