Xihui Chen
Hohai University
13 Papers
1 Citations
Xihui Chen is an academic researcher from Hohai University. The author has contributed to research in topics: Computer science & Photovoltaic system. The author has an hindex of 1, co-authored 2 publications.
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Papers
Understanding innovation of new energy industry: Observing development trend and evolution of hydrogen fuel cell based on patent mining
Huijie Zhou,Jie-Jung Dai,Xihui Chen,Bin Hu,Haoran Wei,Helen Huifen Cai +5 more
TL;DR: This study analyzes patent data from 2003-2022 to understand the innovation trend and evolution of hydrogen fuel cells, identifying key technologies, hotspots, and phases of development, providing insights for policymakers and industry stakeholders.
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Intelligent fault diagnosis of photovoltaic array based on variable predictive models and I–V curves
Yongjie Liu,Kun Ding,Jingwei Zhang,Ying Hong Lin,Zenan Yang,Xiang Chen,Yuanliang Li,Xihui Chen +7 more
TL;DR: Wang et al. as mentioned in this paper proposed an intelligent fault diagnosis method for photovoltaic arrays based on the variable predictive models and I-V curves, which reduced the computational cost and avoided the problem that the kernel function and hyperparameter are difficult to determine.
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A reinforcement learning based approach for on-line adaptive parameter extraction of photovoltaic array models
TL;DR: In this paper, a reinforcement learning (RL) based approach for on-line adaptive parameter extraction of PV array models is proposed, including the ideality factor, series and shunt resistance, and the compensated irradiance for the uncalibrated pyranometer.
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Feature extraction and fault diagnosis of photovoltaic array based on current–voltage conversion
Kun Ding,Xiang Chen,Meng Jiang,Hang Yang,Xihui Chen,Jingwei Zhang,Ruiguang Gao,Liu Cui +7 more
TL;DR: A feature extraction and fault diagnosis method for photovoltaic arrays is proposed, utilizing current-voltage conversion, double diode modeling, and T-SNE dimensionality reduction, achieving 99.4% accuracy with a variable prediction model in 0.17 seconds.
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Research on real-time identification method of model parameters for the photovoltaic array
TL;DR: In this paper , two effective methods for the real-time identification of PV array model parameters are proposed, namely, a PV array modeling method and an effective preprocessing method for the measured currentvoltage (I-V) curves.
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