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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  
From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems Journal article
Wang, Tianyu, Noori, Mohammad, Altabey, Wael A., Wu, Zhishen, Ghiasi, Ramin, Kuok, Sin Chi, Silik, Ahmed, Farhan, Nabeel S.D., Sarhosis, Vasilis, Farsangi, Ehsan Noroozinejad. From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems[J]. Mechanical Systems and Signal Processing, 2023, 204, 110785.
Authors:  Wang, Tianyu;  Noori, Mohammad;  Altabey, Wael A.;  Wu, Zhishen;  Ghiasi, Ramin; et al.
Favorite | TC[WOS]:22 TC[Scopus]:23  IF:7.9/8.0 | Submit date：2024/01/02
Data-driven Method  Hysteresis Modeling  Model-data Hybrid Driven Method  Model-driven Method  Structural And Mechanical System  
Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels Journal article
Chi, Yingtian, Hu, Qiang, Lin, Jin, Qiu, Yiwei, Mu, Shujun, Li, Wenying, Song, Yonghua. Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels[J]. Journal of Power Sources, 2023, 553.
Authors:  Chi, Yingtian;  Hu, Qiang;  Lin, Jin;  Qiu, Yiwei;  Mu, Shujun; et al.
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:8.1/8.3 | Submit date：2023/02/08
3d Multiphysics Model  Adaptive Polynomial Approximation  Computational Cost  Data-driven  Flat-chip Solid Oxide Cell  
A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data Conference paper
Zheng Xing, Liu JR(劉景榮). A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data[C], 2022.
Authors:  Zheng Xing;  Liu JR(劉景榮)
Favorite |  | Submit date：2022/08/28
Power Estimation, Data-driven, Power Flow Model, Incomplete Data  
A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data Conference paper
Zheng Xing, Keng-Weng Lao, HongJun Gao, NingYi Dai. A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data[C]:IEEE, 2022, 316-320.
Authors:  Zheng Xing;  Keng-Weng Lao;  HongJun Gao;  NingYi Dai
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2022/05/17
Data-driven  Incomplete Data  Power Estimation  Power Flow Model  
A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis Journal article
Chen, Tao, Gao, Ciwei, Hui, Hongxun, Cui, Qiushi, Long, Huan. A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis[J]. Transactions of the Institute of Measurement and Control, 2021.
Authors:  Chen, Tao;  Gao, Ciwei;  Hui, Hongxun;  Cui, Qiushi;  Long, Huan
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:1.7/1.6 | Submit date：2022/05/13
Battery Capacity Prediction  Data-driven Solution  Energy Storage System  Generalized Additive Model  Lithium-ion Battery  
Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems Journal article
Chen, Tao, Song, Meng, Hui, Hongxun, Long, Huan. Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems[J]. Frontiers in Energy Research, 2021, 9, 754317.
Authors:  Chen, Tao;  Song, Meng;  Hui, Hongxun;  Long, Huan
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:2.6/3.0 | Submit date：2021/12/08
Battery Electrode Property Prediction  Battery Parameter Analysis  Data-driven Model  Energy Storage System  Lithium-ion Battery  
Single Bus Data-driven Power Estimation Based on Modified Linear Power Flow Model Conference paper
Xing, Zheng, Gong, Jian Hua, Lao, Keng Weng, Dai, Ning Yi. Single Bus Data-driven Power Estimation Based on Modified Linear Power Flow Model[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2021, 755-758.
Authors:  Xing, Zheng;  Gong, Jian Hua;  Lao, Keng Weng;  Dai, Ning Yi
Favorite | TC[Scopus]:4 | Submit date：2022/05/13
Power Estimation  Linearization  Data-driven  Power Flow Model  
A data driven multi-state model for distribution system flexible planning utilizing hierarchical parallel computing Journal article
Ye,Chengjin, Ding,Yi, Song,Yonghua, Lin,Zhenzhi, Wang,Lei. A data driven multi-state model for distribution system flexible planning utilizing hierarchical parallel computing[J]. Applied Energy, 2018, 232, 9-25.
Authors:  Ye,Chengjin;  Ding,Yi;  Song,Yonghua;  Lin,Zhenzhi;  Wang,Lei
Favorite | TC[WOS]:10 TC[Scopus]:19  IF:10.1/10.4 | Submit date：2021/03/09
Data-driven  Distribution System  Expected Cost  Flexibility  Multi-state Model  Parallel Computing  
Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive Journal article
Zhang C.-Y., Chen D., Yin J., Chen L.. Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive[J]. Advanced Engineering Informatics, 2016, 30(3), 553-563.
Authors:  Zhang C.-Y.;  Chen D.;  Yin J.;  Chen L.
Favorite | TC[WOS]:20 TC[Scopus]:26 | Submit date：2019/02/13
Automatic Train Operation  Data-driven Train Operation Model  Ensemble Learning  Machine Learning  Manual Driving