Zhengkun Shi

ORCID: 0000-0003-1902-9148
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About
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Research Areas
  • Electric Power System Optimization
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • IoT Networks and Protocols
  • Integrated Energy Systems Optimization
  • Adaptive Control of Nonlinear Systems
  • Software-Defined Networks and 5G
  • Age of Information Optimization
  • Robotic Path Planning Algorithms
  • Power Quality and Harmonics
  • Islanding Detection in Power Systems
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Maritime Navigation and Safety
  • Video Surveillance and Tracking Methods

New York University
2024

Southeast University
2023

Wuhan Ship Development & Design Institute
2023

Southwest Jiaotong University
2022

The increasing penetration of distributed energy sources demands higher observability the distribution networks for better scheduling, operation, dispatching and control. However, huge amounts nodes in implies that any additional measuring instrument would be costs burden DSO. In this paper, we proposes a full-scale framework line parameters, topology, phase label estimation angle recovery utilizing smart meter measurements only non-μPMU networks. Firstly, linearize three-phase power flow...

10.1016/j.ijepes.2023.109658 article EN cc-by-nc-nd International Journal of Electrical Power & Energy Systems 2023-11-17

Object detection, whose main task is to detect objects in a picture determine the type, location, and scene which they belong, has become one of most central problems computer vision. detection currently broadly divided into two implementations, one-stage detector will get prediction results directly from image, two-stage also known as Region-based, because regionally generate image then submit it convolutional neural network. These approaches have their own advantages disadvantages, this...

10.1109/iccasit55263.2022.9986730 article EN 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) 2022-10-12

Existing broadcast techniques are challenging to meet the low-latency high-reliability requirements of advanced V2X applications. As an enhancement broadcast, unicast mode has been introduced in 5G NR-V2X. The strategy V2V message dissemination is investigated, and problem maximizing k-vertex reachable nodes within h-hop proposed. A maximum matching-based algorithm named HKVR presented solve problem. Experimental results indicate that better performance than traditional centrality-based...

10.1109/wccct60665.2024.10541348 article EN 2024-04-12
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