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A data-driven probabilistic evaluation method of hydrogen fuel cell vehicles hosting capacity for integrated hydrogen-electricity network Journal article
Xia, Weiyi, Ren, Zhouyang, Li, Hui, Pan, Zhen. A data-driven probabilistic evaluation method of hydrogen fuel cell vehicles hosting capacity for integrated hydrogen-electricity network[J]. Applied Energy, 2024, 376, 123895.
Authors:  Xia, Weiyi;  Ren, Zhouyang;  Li, Hui;  Pan, Zhen
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:10.1/10.4 | Submit date：2024/10/10
Hosting Capacity  Hydrogen Fuel Cell Vehicles  Hydrogen Production  Polynomial Chaos Expansion  Probabilistic Evaluation  
City metro network expansion based on multi-objective reinforcement learning Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:  Zhang, Liqing;  U, Leong Hou;  Ni, Shaoquan;  Chen, Dingjun;  Li, Zhenning; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2024/11/05
Actor-critic Network  Metro Expansion  Reinforcement Learning  
Correcting spot power variation estimator via Edgeworth expansion Journal article
He, Lidan, Liu, Qiang, Liu, Zhi, Bucci, Andrea. Correcting spot power variation estimator via Edgeworth expansion[J]. Metrika, 2024, 87(8), 921–945.
Authors:  He, Lidan;  Liu, Qiang;  Liu, Zhi;  Bucci, Andrea
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:0.9/1.0 | Submit date：2024/02/22
Confidence Interval  Edgeworth Expansion  High-frequency Data  Spot Volatility  
Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning Conference paper
Ou, Zhongxi, Zhang, Liang, Zhao, Xiaoyan, Lan, Wei, Liu, Dundun, Liu, Weifeng. Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 725-730.
Authors:  Ou, Zhongxi;  Zhang, Liang;  Zhao, Xiaoyan;  Lan, Wei;  Liu, Dundun; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/03
Advantage Actor-critic  Deep Reinforcement Learning  Distribution Network Expansion  Markov Decision Process  
Neumann Series based Linear Bus Injection Model of Three-Phase AC Power Flow for Active Distribution Network Conference paper
Gong, Cheng, Lam, Chi Seng. Neumann Series based Linear Bus Injection Model of Three-Phase AC Power Flow for Active Distribution Network[C]:IEEE, 2024.
Authors:  Gong, Cheng;  Lam, Chi Seng
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Ac Power Flow  Bus Injection Model  Linear Approximation  Neumann Series Expansion  
A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wang Ji. A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes[J]. Mechanical Systems and Signal Processing, 2024, 208, 110968.
Authors:  Ping, Menghao;  Jia, Xinyu;  Papadimitriou, Costas;  Han, Xu;  Jiang, Chao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.9/8.0 | Submit date：2024/02/22
Hierarchical Bayesian Modeling Framework  Improved Orthogonal Series Expansion  Model Class Selection  Non-gaussian Pdf Estimation  Non-gaussian Process  Polynomial Chaos Expansion  
Associations of Death Anxiety, Inclusion of Smartphone in the Self, and Affiliation Motivation with Smartphone use and Addiction: A Multiple Mediation Study Journal article
Feng,Chun, Wu,Anise M.S., Yu,Ke, Zhao,Wen, Xu,Ji Kang. Associations of Death Anxiety, Inclusion of Smartphone in the Self, and Affiliation Motivation with Smartphone use and Addiction: A Multiple Mediation Study[J]. Omega (United States), 2023.
Authors:  Feng,Chun;  Wu,Anise M.S.;  Yu,Ke;  Zhao,Wen;  Xu,Ji Kang
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.5/1.7 | Submit date：2023/08/03
Affiliation Motivation  Death Anxiety  Self-expansion  Smartphone Addiction  Terror Management Theory  
Total Value Adjustment of Multi-Asset Derivatives under Multivariate CGMY Processes Journal article
Wu, Fengyan, Ding, Deng, Yin, Juliang, Lu, Weiguo, Yuan, Gangnan. Total Value Adjustment of Multi-Asset Derivatives under Multivariate CGMY Processes[J]. Fractal and Fractional, 2023, 7(4), 308.
Authors:  Wu, Fengyan;  Ding, Deng;  Yin, Juliang;  Lu, Weiguo;  Yuan, Gangnan
Adobe PDF | Favorite | TC[WOS]:4 TC[Scopus]:4  IF:3.6/3.5 | Submit date：2023/04/15
Counterparty Credit Risk  Total Value Adjustment  Cgmy Process  Monte Carlo Simulation  Adi Method  2d Fourier Expansion  
A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wangji. A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification[J]. Mechanical Systems and Signal Processing, 2023, 187, 109933.
Authors:  Ping, Menghao;  Jia, Xinyu;  Papadimitriou, Costas;  Han, Xu;  Jiang, Chao; et al.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:7.9/8.0 | Submit date：2023/04/03
Hierarchical Bayesian Framework  Gaussian Processes Or Fields  Improved Orthogonal Series Expansion  Model Class Selection  Structural Dynamics  
Temperature-dependent synthesis of SnO2 or Sn embedded in hollow porous carbon nanofibers toward customized lithium-ion batteries Journal article
Liang, Fanghua, Dong, Huilong, Ji, Zhuyu, Zhang, Wei, Zhang, Haifeng, Cao, Chunyan, Li, Heng, Liu, Hongchao, Zhang, Ke Qin, Lai, Yuekun, Tang, Yuxin, Ge, Mingzheng. Temperature-dependent synthesis of SnO2 or Sn embedded in hollow porous carbon nanofibers toward customized lithium-ion batteries[J]. Science China-Materials, 2023, 66(5), 1736-1746.
Authors:  Liang, Fanghua;  Dong, Huilong;  Ji, Zhuyu;  Zhang, Wei;  Zhang, Haifeng; et al.
Favorite | TC[WOS]:30 TC[Scopus]:28  IF:6.8/6.6 | Submit date：2023/06/05
High Rate Performance  Large Energy Storage  Lithium-ion Batteries  Sn-based Electrodes  Volume Expansion