Institution
Northeastern University (China)
Education•Shenyang, China•
About: Northeastern University (China) is a education organization based out in Shenyang, China. It is known for research contribution in the topics: Control theory & Microstructure. The organization has 36087 authors who have published 36125 publications receiving 426807 citations. The organization is also known as: Dōngběi Dàxué & Northeastern University (东北大学).
Topics: Control theory, Microstructure, Nonlinear system, Fuzzy logic, Alloy
Papers published on a yearly basis
Papers
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TL;DR: Wang et al. as mentioned in this paper applied performance-based planning to assess the impact of urban building morphology on local climate surface temperatures under different wind conditions during 2017 in Shanghai, China using multi-source data, such as frontal area density (FAD), local climatic zone classification, land surface temperature (LST) data, and geographic information.
193 citations
TL;DR: The experimental results of this study suggest the proposed deep distance metric learning method offers a new and promising tool for intelligent fault diagnosis of rolling bearings.
193 citations
TL;DR: In this paper, the authors used CT images and CT values for the process of compression, micro-cracking, and dilation up to the failure of sandstone specimens under different loading levels.
192 citations
Northeastern University (China)1, Lawrence Berkeley National Laboratory2, Geballe Laboratory for Advanced Materials3, Peking University4, Shandong University5, Binghamton University6, Zhengzhou University7, Tianjin Normal University8, Stanford University9, SLAC National Accelerator Laboratory10, Tsinghua University11
TL;DR: In this paper, a mapping of resonant inelastic X-ray scattering (mRIXS) was used to quantitatively quantify the evolving redox states of both cations and anions in Na2/3Mg1/3mn2/ 3O2 and Li1.17Ni0.21Co0.08Mn0.54O2 systems.
192 citations
TL;DR: This paper proposes a distributed multi-agent-based load shedding algorithm, which can make efficient load shedding decision based on discovered global information, and according to rigorous stability analysis, convergence of the designed algorithm can be guaranteed.
Abstract: If generation in a power system is insufficient to power all loads, efficient load shedding operations may need to be deployed to maintain the supply-demand balance. This paper proposes a distributed multi-agent-based load shedding algorithm, which can make efficient load shedding decision based on discovered global information. During the information discovery process, only communications between immediate neighboring agents are used. The information discovery algorithm is represented as a discrete time linear system and the stability of which is analyzed according to average-consensus theorem. According to rigorous stability analysis, convergence of the designed algorithm can be guaranteed. To improve the speed of the algorithm, particle swarm optimization (PSO) is used to optimize the coefficients for information exchange so that the second largest eigenvalue of the iteration matrix is minimized. According to the designed algorithm, total net active power and operating status of loads can be discovered accurately even with faults. Based on the discovered information, coordinated load shedding decision can be made.
192 citations
Authors
Showing all 36436 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Rui Zhang | 151 | 2625 | 107917 |
| Hui-Ming Cheng | 147 | 880 | 111921 |
| Yonggang Huang | 136 | 797 | 69290 |
| Yang Liu | 129 | 2506 | 122380 |
| Tao Zhang | 123 | 2772 | 83866 |
| J. R. Dahn | 120 | 832 | 66025 |
| Terence G. Langdon | 117 | 1158 | 61603 |
| Frank L. Lewis | 114 | 1045 | 60497 |
| Xin Li | 114 | 2778 | 71389 |
| Peng Wang | 108 | 1672 | 54529 |
| David J. Hill | 107 | 1364 | 57746 |
| Jian Zhang | 107 | 3064 | 69715 |
| Xuemin Shen | 106 | 1221 | 44959 |
| Yi Zhang | 102 | 1817 | 53417 |
| Tao Li | 102 | 2483 | 60947 |