J
Jian Chen
Researcher at Zhejiang University
Publications - 886
Citations - 16205
Jian Chen is an academic researcher from Zhejiang University. The author has contributed to research in topics: Terahertz radiation & Medicine. The author has an hindex of 51, co-authored 741 publications receiving 10803 citations. Previous affiliations of Jian Chen include Shandong University & Energy Institute.
Papers
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Intra-day Multi-time-scale Hierarchical Rolling Scheduling of Integrated Energy System Considering Uncertainty
TL;DR: Wang et al. as mentioned in this paper proposed an intra-day multi-time-scale hierarchical rolling scheduling strategy based on model predictive control for IES, which takes into account risks and costs by reasonably selecting confidence level.
Proceedings ArticleDOI
An Nb 5 N 6 microbolometer THz camera
Shuyu Zhou,Zhenjie Li,Pengfei Chen,Xuecou Tu,Chengtao Jiang,Yichen Zhang,Qiangqiang Wu,M. F. Liu,Xiaoqing Jia,Lin Kang,Jian Chen,Peiheng Wu +11 more
TL;DR: In this paper, an antenna coupled microbolometer THz detector array at room temperature, and integrated 180 nm CMOS process readout circuit was used to detect Nb 5 N 6 film.
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Frequency domain anti-flickering in visible light communication system
TL;DR: In this paper , a signal processing method in the frequency domain is proposed to mitigate LED flickering, where low-frequency components (3-70 Hz) of modulated signals are extracted by using Fourier transform and inversely restored for transmission.
Proceedings ArticleDOI
Reconfigurable Stealth Antenna Based On Electromagnetic Bandgap
TL;DR: In this article, a reconfigurable stealth antenna based on electromagnetic bandgap structure is designed to reduce the radar cross-section by controlling the intensity or position of the bias magnetic field of the ferrite.
Proceedings ArticleDOI
Locating and sizing of UPFC based on hybrid intelligent algorithm
TL;DR: A novel hybrid intelligent algorithm for UPFC location and capacity configuration is proposed, based on device features and economic benefits, chaotic evolutionary algorithm (CEA) is designed as a framework, while primal-dual interior point method (PDIPM) is utilized to process continuous variables and evaluate population fitness.