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ORCIDYishen Wang
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2020 – today
- 2023
[c5]Yishen Wang, Fei Zhou, Hong Zhu, Siyan Liu, Zhuang Tang, He Yang:
Graph Computing Applications In Unit Commitment Historical Data Management. iSPEC 2023: 1-5- 2022
- [j8]Yishen Wang
, Shaoming Zhang, Jianmei Wang:
Ceiling-View Semi-Direct Monocular Visual Odometry with Planar Constraint. Remote. Sens. 14(21): 5447 (2022) - 2021
- [j7]Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang, Di Shi, Zhiwei Wang:
Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. Trans. Inst. Meas. Control 43(3): 635-645 (2021) - [j6]Jian Xie, Zixiao Ma, Kaveh Dehghanpour, Zhaoyu Wang, Yishen Wang, Ruisheng Diao, Di Shi:
Imitation and Transfer Q-Learning-Based Parameter Identification for Composite Load Modeling. IEEE Trans. Smart Grid 12(2): 1674-1684 (2021) - 2020
- [j5]Xinan Wang, Yishen Wang, Jianhui Wang, Di Shi:
Residential Customer Baseline Load Estimation Using Stacked Autoencoder With Pseudo-Load Selection. IEEE J. Sel. Areas Commun. 38(1): 61-70 (2020) - [j4]You Lin, Yishen Wang, Jianhui Wang, Siqi Wang, Di Shi:
Global Sensitivity Analysis in Load Modeling via Low-Rank Tensor. IEEE Trans. Smart Grid 11(3): 2737-2740 (2020) - [j3]Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang:
Two-Stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach. IEEE Trans. Smart Grid 11(5): 4331-4344 (2020) - [c4]Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Siqi Wang, Ruisheng Diao, Zhiwei Wang:
Evaluating Load Models and Their Impacts on Power Transfer Limits. ICCA 2020: 1106-1111 - [i7]You Lin, Yishen Wang, Jianhui Wang, Siqi Wang, Di Shi:
Global Sensitivity Analysis in Load Modeling via Low-rank Tensor. CoRR abs/2001.02771 (2020) - [i6]Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Siqi Wang, Ruisheng Diao, Zhiwei Wang:
Evaluating Load Models and Their Impacts on Power Transfer Limits. CoRR abs/2008.03336 (2020)
2010 – 2019
- 2019
- [c3]Yishen Wang, Zongzhang Zhang:
Experience Selection in Multi-agent Deep Reinforcement Learning. ICTAI 2019: 864-870 - [i5]Yishen Wang, Xiao Lu, Yiran Xu, Di Shi, Zhehan Yi, Jiajun Duan, Zhiwei Wang:
Submodular Load Clustering with Robust Principal Component Analysis. CoRR abs/1902.07376 (2019) - [i4]Yayu Peng, Yishen Wang, Xiao Lu, Haifeng Li, Di Shi, Zhiwei Wang, Jie Li:
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis. CoRR abs/1903.10679 (2019) - [i3]Qicheng Chang, Yishen Wang, Xiao Lu, Di Shi, Haifeng Li, Jiajun Duan, Zhiwei Wang:
Probabilistic Load Forecasting via Point Forecast Feature Integration. CoRR abs/1903.10684 (2019) - [i2]Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang:
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach. CoRR abs/1911.04894 (2019) - 2018
- [j2]Kexing Lai, Yishen Wang, Di Shi, Mahesh S. Illindala, Xiaohu Zhang, Zhiwei Wang:
A Resilient Power System Operation Strategy Considering Transmission Line Attacks. IEEE Access 6: 70633-70643 (2018) - [j1]Yishen Wang, Beata Bajorek:
Selecting antithrombotic therapy for stroke prevention in atrial fibrillation: Health professionals' feedback on a decision support tool. Health Informatics J. 24(3): 309-322 (2018) - [c2]Zhe Yu, Di Shi, Haifeng Li, Yishen Wang, Zhehan Yi, Zhiwei Wang:
An Extended Kalman Filter Enhanced Hilbert-Huang Transform in Power System Oscillation Detection. ISGT Europe 2018: 1-6 - 2017
- [i1]Yize Chen, Yishen Wang, Daniel S. Kirschen, Baosen Zhang:
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. CoRR abs/1707.09676 (2017) - 2016
- [c1]Mads Almassalkhi, Yury Dvorkin, Jennifer F. Marley, Ricardo Fernández-Blanco, Ian A. Hiskens, Daniel S. Kirschen, Jonathon Martin, Hrvoje Pandzic, Ting Qiu, Mushfiqur R. Sarker, Maria Vrakopoulou, Yishen Wang, Mengran Xue:
Incorporating storage as a flexible transmission asset in power system operation procedure. PSCC 2016: 1-7
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