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Tianzhixi Yin
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2020 – today
- 2024
- [j4]Ramij Raja Hossain
, Tianzhixi Yin
Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning. Mach. Learn. 113(5): 2675-2700 (2024) - [c5]Jim Follum, Shuchismita Biswas, Pavel V. Etingov, Tianzhixi Yin:
A Novel Method for Setting Meaningful Thresholds for RMS-Energy Oscillation Detectors. HICSS 2024: 3004-3013 - [i9]Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu:
Model editing for distribution shifts in uranium oxide morphological analysis. CoRR abs/2407.15756 (2024) - 2023
- [j3]Shuchismita Biswas
An Open-Source Library of Phasor Measurement Unit Data Capturing Real Bulk Power Systems Behavior. IEEE Access 11: 108852-108863 (2023) - [j2]Tianzhixi Yin, Gihan Panapitiya, Elizabeth D. Coda, Emily Saldanha
Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction. J. Cheminformatics 15(1): 105 (2023) - [c4]Jim Follum, Sinan Aksoy, Sraddhanjoli Bhadra, John Buckheit, Nick Betzsold, Tianzhixi Yin, Tamara Becejac:
The Circular Variance as a Visual Summary of Synchronized Voltage Angle Measurements. HICSS 2023: 2612-2621 - [i8]Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Z. Jason Hou, Jie Tan, Wenhao Yu, Yuan Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen
Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control. CoRR abs/2310.05021 (2023) - [i7]Sayak Mukherjee, Ramij Raja Hossain, Sheik M. Mohiuddin, Yuan Liu, Wei Du, Veronica Adetola, Rohit A Jinsiwale, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal:
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. CoRR abs/2311.12264 (2023) - 2022
- [i6]Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning. CoRR abs/2212.02715 (2022) - [i5]Sayak Mukherjee, Ramij Raja Hossain, Yuan Liu, Wei Du, Veronica Adetola, Sheik M. Mohiuddin, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal:
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. CoRR abs/2212.08973 (2022) - 2021
- [j1]Xiaoqin Zang
Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data. Remote. Sens. 13(14): 2671 (2021) - [i4]Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du:
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning. CoRR abs/2101.05317 (2021) - [i3]Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin:
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. CoRR abs/2102.00077 (2021) - [i2]Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li:
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery. CoRR abs/2111.14352 (2021) - 2020
- [c3]Tianzhixi Yin, Xiaoqin Zang, Zhangshuan Hou, Paul T. Jacobson, Robert T. Mueller, Zhiqun Daniel Deng:
Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network. HICSS 2020: 1-8 - [i1]Renke Huang, Yujiao Chen, Tianzhixi Yin, Xinya Li, Ang Li, Jie Tan, Qiuhua Huang:
Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control. CoRR abs/2006.12667 (2020)
2010 – 2019
- 2019
- [c2]Yousu Chen
Big Data Analytic for Cascading Failure Analysis. IEEE BigData 2019: 1625-1630 - 2018
- [c1]Yixuan Sun
Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems. ICMLA 2018: 1283-1289
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last updated on 2024-10-07 21:19 CEST by the dblp team
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