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ORCIDMing Yang 0008
Person information
- affiliation: Shandong University, Key Laboratory of Power System Intelligent Dispatch and Control / Collaborative Innovation Center of Global Energy Internet, Jinan, China
Other persons with the same name
- Ming Yang — disambiguation page
- Ming Yang 0001
![[0000-0002-8209-1000]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8209-1000")
— Southeast University, School of Computer Science and Engineering, Nanjing, China - Ming Yang 0002 — Shanghai Jiao Tong University, Department of Automation, China (and 1 more)
- Ming Yang 0003 — China University of Geosciences, School of Computer Science, Wuhan, China (and 1 more)
- Ming Yang 0004 — Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA
- Ming Yang 0005 — McGill University, Department of Electrical and Computer Engineering, Montreal, QC, Canada
- Ming Yang 0006 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China (and 1 more)
- Ming Yang 0007 — Ant Group, Seattle, WA, USA (and 4 more)
- Ming Yang 0009 — Henan Polytechnic University, School of Safety Science and Engineering, Jiaozuo, China
- Ming Yang 0010 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Ming Yang 0011 — Children's Hospital of Nanjing Medical University, Department of Radiology, China
- Ming Yang 0012 — Zhejiang University, College of Information Science & Electronic Engineering, Hangzhou, Zhejiang, China (and 1 more)
- Ming Yang 0013 — People's Public Security University of China, School of Information Network Security, Beijing, China
- Ming Yang 0014 — Nanjing Normal University, School of Computer Science and Technology, Nanjing, China (and 1 more)
- Ming Yang 0015 — Harbin Institute of Technology, School of Astronautics, Control and Simulation Center, Harbin, China
- Ming Yang 0016 — Shanghai Jiaotong University, School of Electronic Information and Electrical Engineering, Department of Instrument Science and Engineering, Shanghai, China (and 1 more)
- Ming Yang 0017 — Anhui University, School of Physics and Materials Science, Key Laboratory of Opto-electronic Information Acquisition and Manipulation, Hefei, China
- Ming Yang 0018 — Nanyang Technological University, School of Computer Engineering, Singapore
- Ming Yang 0019 — Kennesaw State University, College of Computing and Software Engineering, Marietta, GA, USA (and 4 more)
- Ming Yang 0020 — Southeast University, Department of Mathematics, Nanjing, China
- Ming Yang 0021 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China
- Ming Yang 0022 — Yunnan University of Finance and Economics, School of Information, Kunming, China
- Ming Yang 0023 — Qilu University of Technology (Shandong Academy of Sciences), Shandong Computer Science Center, Shandong Provincial Key Laboratory of Computer Networks, Jinan, China (and 1 more)
- Ming Yang 0024 — Westfield State University, Department of Computer and Information Science, Westfield, MA, USA (and 2 more)
- Ming Yang 0025 — Bozhou University, Department of Electronics and Information Engineering, Bozhou, China (and 1 more)
- Ming Yang 0026 — Southwest University, College of Computer and Information Science, Chongqing, China
- Ming Yang 0027 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
- Ming Yang 0028 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Ming Yang 0029 — Nanyang Technological University, Centre for Information Sciences and Systems (CISS), NTU-NXP Smart Mobility Test Bed project, Singapore (and 2 more)
- Ming Yang 0030 — Guizhou University, Electrical Engineering College, Guiyang, China (and 1 more)
- Ming Yang 0031 — Coventry University, Faculty of Engineering, Environment and Computing, Coventry, UK
- Ming Yang 0032 — Zhejiang Meteorological Information Network Center, Hangzhou, China (and 2 more)
- Ming Yang 0033 — Tsinghua University, Department of Computer Science and Technology, BNRist, Beijing, China
- Ming Yang 0034 — National Cheng Kung University, Department of Geomatics, Tainan, Taiwan
- Ming Yang 0035 — National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications & Remote Sensing, Penteli, Greece
- Ming Yang 0036 — University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA
- Ming Yang 0037 — Central University of Finance and Economics, Beijing, China (and 1 more)
- Ming Yang 0038 — Delft University of Technology, Faculty of Technology, Policy and Management, Department of Values, Technology, and Innovation, The Netherlands (and 2 more)
- Ming Yang 0039 — CVTE Research, Guangzhou, China (and 1 more)
- Ming Yang 0040 — University of New Orleans, Department of Electrical Engineering, New Orleans, LA, USA
- Ming Yang 0041 — Yunnan University of Traditional Chinese Medicine, Modern Continuing Education Center, Kunming, China
- Ming Yang 0042 — Yahoo, Sunnyvale, CA, USA (and 1 more)
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Journal Articles
- 2023
[j8]Xiaoyu Li, Xueshan Han, Ming Yang:
Risk-Based Reserve Scheduling for Active Distribution Networks Based on an Improved Proximal Policy Optimization Algorithm. IEEE Access 11: 15211-15228 (2023)- [j7]Anping Zhou, Ming Yang, Tao Wu, Lun Yang:
Distributionally Robust Energy Management for Islanded Microgrids With Variable Moment Information: An MISOCP Approach. IEEE Trans. Smart Grid 14(5): 3668-3680 (2023) - 2022
- [j6]Xiaoyu Li, Xueshan Han, Ming Yang:
Day-Ahead Optimal Dispatch Strategy for Active Distribution Network Based on Improved Deep Reinforcement Learning. IEEE Access 10: 9357-9370 (2022) - [j5]Anping Zhou, Hefeng Zhai, Ming Yang, You Lin:
Three-Phase Unbalanced Distribution Network Dynamic Reconfiguration: A Distributionally Robust Approach. IEEE Trans. Smart Grid 13(3): 2063-2074 (2022) - 2021
- [j4]Pingfeng Ye, Xueshan Han, Ming Yang, Yumin Zhang, Younan Pei, Xuan Zhang:
A Novel Thévenin Equivalent Model Considering the Correlation of Source-Grid-Load in Power Systems. IEEE Access 9: 31276-31286 (2021) - [j3]Jim Xiuquan Ji, Xuan Zhang, Yumin Zhang, Ziyang Yin, Ming Yang, Xueshan Han:
Three-Phase Symmetric Distribution Network Fast Dynamic Reconfiguration Based on Timing-Constrained Hierarchical Clustering Algorithm. Symmetry 13(8): 1479 (2021) - 2019
- [j2]Chengfu Wang, Shuai Dong, Shijie Xu, Ming Yang, Suoying He, Xiaoming Dong, Jun Liang:
Impact of Power-to-Gas Cost Characteristics on Power-Gas-Heating Integrated System Scheduling. IEEE Access 7: 17654-17662 (2019) - 2018
- [j1]Ming Yang, Jianhui Wang, Haoran Diao, Junjian Qi, Xueshan Han:
Interval Estimation for Conditional Failure Rates of Transmission Lines With Limited Samples. IEEE Trans. Smart Grid 9(4): 2752-2763 (2018)
Conference and Workshop Papers
- 2020
- [c11]Peng Li, Ming Yang:
Robust Decentralized Coordination of Transmission and Active Distribution Networks. IAS 2020: 1-6 - [c10]Huacan Lv, Chengfu Wang, Yong Wang, Xi Chen, Ming Yang, Zhenwei Zhang:
The Impact of Coupling Degree on Optimal Operation of Integrated Energy System. IAS 2020: 1-7 - [c9]Hongzhang Sheng, Chengfu Wang, Yunhui Dong, Jun Liang, Ming Yang:
Multi-timescale Active Distribution Network Scheduling Considering Demand-Side Response and User Comprehensive Satisfaction. IAS 2020: 1-7 - [c8]Zhenwei Zhang, Chengfu Wang, Ming Yang, Xi Chen, Huacan Lv:
Day-ahead Optimal Dispatch for Integrated Energy System Considering Power-to-gas and Dynamic Pipeline Networks. IAS 2020: 1-7 - 2019
- [c7]Yixiao Yu, Xueshan Han, Ming Yang, Jiajun Yang:
Probabilistic Prediction of Regional Wind Power Based on Spatiotemporal Quantile Regression. IAS 2019: 1-16 - [c6]Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang:
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. MICCAI (6) 2019: 567-575 - 2018
- [c5]Yanling Wang, Ming Yang, Likai Liang, Yang Mo, Mengmeng Wu:
Analysis on the DTR of Transmission Lines to Improve the Utilization of Wind Power. IAS 2018: 1-9 - 2017
- [c4]Jiayi Ma, Ming Yang, Xueshan Han, Zhi Li:
Ultra-short-term wind generation forecast based on multivariate empirical dynamic modeling. IAS 2017: 1-8 - 2016
- [c3]Chengfu Wang, Zhe Li, Jun Liang, Jinyu Wang, Ming Yang, Xiaoming Dong:
A dynamic equivalent method of wind farm considering wind farm dispersity and wind turbine difference. IAS 2016: 1-6 - 2015
- [c2]Ming Yang, You Lin, Xueshan Han:
Probabilistic wind generation forecast based on sparse Bayesian classification and Dempster-Shafer theory. IAS 2015: 1-7 - 2013
- [c1]Simeng Zhu, Ming Yang, Meng Liu, Wei-Jen Lee:
One parametric approach for short-term JPDF forecast of wind generation. IAS 2013: 1-7
Informal and Other Publications
- 2017
- [i2]You Lin, Ming Yang, Can Wan, Jianhui Wang, Yonghua Song:
A Multi-model Combination Approach for Probabilistic Wind Power Forecasting. CoRR abs/1702.03613 (2017) - [i1]Shaopan Wei, Ming Yang, Junjian Qi, Jianhui Wang, Shiying Ma, Xueshan Han:
Model-Free MLE Estimation for Online Rotor Angle Stability Assessment with PMU Data. CoRR abs/1702.03629 (2017)
Coauthor Index
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