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Time-Varying ADN Load Modeling Considering the Suppression of the Plateau Phenomenon and Continuous Low-Quality Data Journal article
Wang, Peng, Zhang, Zhenyuan, Chen, Chenxu, Huang, Qi, Dai, Ningyi, Lee, Wei Jen. Time-Varying ADN Load Modeling Considering the Suppression of the Plateau Phenomenon and Continuous Low-Quality Data[J]. IEEE Transactions on Industry Applications, 2024, 60(5), 7451-7460.
Authors:  Wang, Peng;  Zhang, Zhenyuan;  Chen, Chenxu;  Huang, Qi;  Dai, Ningyi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.2/4.5 | Submit date：2024/11/05
Active Distribution Network  Continuous Low-quality Data  Improved Synthesis Load Model  Target Parameter Selection  Time-varying Parameter Identification  
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  
Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion Journal article
Huang, Xiaojia, Wang, Chen, Zhang, Shenghui. Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion[J]. Energy, 2024, 293, 130606.
Authors:  Huang, Xiaojia;  Wang, Chen;  Zhang, Shenghui
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:9.0/8.2 | Submit date：2024/05/02
Model Selection  Multi-objective Optimization Algorithm  Theoretical Power Generation  Wind Speed Forecasting  
Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling Journal article
Kuok, Sin Chi, Yuen, Ka Veng. Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling[J]. Computer Methods in Applied Mechanics and Engineering, 2023, 419, 116680.
Authors:  Kuok, Sin Chi;  Yuen, Ka Veng
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:6.9/6.7 | Submit date：2024/02/22
Bayesian Inference  Data-driven Modeling  Model Class Selection  Physical-inspired Modeling  Synergistic Metamodeling  Uncertainty Quantification  
Joint Diagnosis of High-dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection Journal article
Feng Xu, Lianjie Shu, Yanting Li, Binhui Wang. Joint Diagnosis of High-dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection[J]. TECHNOMETRICS, 2023, 65(4), 465-479.
Authors:  Feng Xu;  Lianjie Shu;  Yanting Li;  Binhui Wang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.3/2.9 | Submit date：2023/08/15
Bayesian Model Selection  Fault Isolation  High-dimensional  Nonlocal Density  
Bayesian Real-Time System Identification: From Centralized to Distributed Approach Book
Huang, Ke, Yuen, Ka Veng. Bayesian Real-Time System Identification: From Centralized to Distributed Approach[M]. Singapore:Springer, 2023, 276.
Authors:  Huang, Ke;  Yuen, Ka Veng
Favorite | TC[Scopus]:3 | Submit date：2024/01/10
Bayesian Inference  Centralized Identification  Distributed Identification  Model Class Selection  Parameter Estimation  Real-time System Identification  Structural Health Monitoring  
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  
Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation Journal article
Ka-Veng Yuen, Wen-Jing Zhang, Wang-Ji Yan. Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation[J]. Advanced Engineering Informatics, 2022, 55, 101859.
Authors:  Ka-Veng Yuen;  Wen-Jing Zhang;  Wang-Ji Yan
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.0/8.2 | Submit date：2023/02/08
Adaptive Bandwidth  General Regression  Model Class Selection  Seismic Attenuation  Sparse Data  Variable Selection  
Assessing the performances of parametric wind models in predicting storm surges in the Pearl River Estuary Journal article
Haoxuan Du, Pubing Yu, Lei Zhu, Kai Fei, Liang Gao. Assessing the performances of parametric wind models in predicting storm surges in the Pearl River Estuary[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 232, 105265.
Authors:  Haoxuan Du;  Pubing Yu;  Lei Zhu;  Kai Fei;  Liang Gao
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:4.2/4.7 | Submit date：2023/02/08
Model Selection  Parametric Wind Field Models  Storm Surge  Tropical Cyclone  
A Novel Time-Varying Parameter Identification Approach for Load Model in Active Distribution Network Conference paper
Peng Wang, Zhenyuan Zhang, Qi Huang, Ningyi Dai, Wei-Jen Lee. A Novel Time-Varying Parameter Identification Approach for Load Model in Active Distribution Network[C], 2022.
Authors:  Peng Wang;  Zhenyuan Zhang;  Qi Huang;  Ningyi Dai;  Wei-Jen Lee
Favorite | TC[Scopus]:1 | Submit date：2023/01/30
Active Distribution Network  Improved Synthesis Load Model  Time-varying Parameter Identification  Target Parameter Selection  Continuous Low-quality Data