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Tianzhixi Yin
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Year
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
322021
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 37 (6), 4168-4178, 2022
242022
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
192019
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
182021
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
182020
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
172021
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
152018
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 37 (5), 3516-3527, 2021
132021
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
112020
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
102016
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
92021
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
92019
Convolutional neural network and transfer learning for high impedance fault detection
R Fan, T Yin
arXiv preprint arXiv:1904.08863, 2019
92019
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
62019
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
52019
Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction
T Yin, G Panapitiya, ED Coda, EG Saldanha
Journal of Cheminformatics 15 (1), 105, 2023
32023
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
32022
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
32021
Regional oscillation source localization: Implementation in the ESAMS tool
JD Follum, TT Yin, NJ Betzsold
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2020
32020
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
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