English | 繁體

Search in the results

UM

Browse/Search Results:  1-7 of 7 Help

Selected(0)Clear Items/Page:    Sort:
Electric Spring for Two-Timescale Coordination Control of Voltage and Reactive Power in Active Distribution Networks Journal article
Gong, Jianhua, Lao, Keng Weng. Electric Spring for Two-Timescale Coordination Control of Voltage and Reactive Power in Active Distribution Networks[J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2024, 39(3), 1864-1876.
Authors:  Gong, Jianhua;  Lao, Keng Weng
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:3.8/4.2 | Submit date：2024/05/16
Active Distribution Network  Data-driven Modeling  Electric Spring  Mix-integer Second-order Cone Program  Volt-var Control  
A flexible and efficient model coupling multi-type data for 2D/3D stratigraphic modeling Journal article
Yan, Wei, Guan, Zheng, Zhou, Wan Huan, Shen, Ping. A flexible and efficient model coupling multi-type data for 2D/3D stratigraphic modeling[J]. Bulletin of Engineering Geology and the Environment, 2024, 83(5), 195.
Authors:  Yan, Wei;  Guan, Zheng;  Zhou, Wan Huan;  Shen, Ping
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:3.7/4.2 | Submit date：2024/05/16
Data-driven Approach  Multi-type Data Coupling  Site Characterization  Stratigraphic Modeling  Weighted Ellipse Nearest Neighbor  
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  
Flattening the Curve after the Initial Outbreak of Coronavirus Disease 2019: A Data-Driven Modeling Analysis for the Omicron Pandemic in China Journal article
Sun, Jiaqi, Li, Yusi, Xiao, Lin Fan, Shao, Ning Yi, Liu, Miao. Flattening the Curve after the Initial Outbreak of Coronavirus Disease 2019: A Data-Driven Modeling Analysis for the Omicron Pandemic in China[J]. Vaccines, 2023, 11(5), 1009.
Authors:  Sun, Jiaqi;  Li, Yusi;  Xiao, Lin Fan;  Shao, Ning Yi;  Liu, Miao
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:5.2/4.9 | Submit date：2023/06/05
Covid-19  Data-driven Modeling Analysis  Flatten-the-curve Policy  
Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin Journal article
Binxiao Liu, Qiuhong Tang, Gang Zhao, Liang Gao, Chaopeng Shen, Baoxiang Pan. Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin[J]. Water (Switzerland), 2022, 14(9).
Authors:  Binxiao Liu;  Qiuhong Tang;  Gang Zhao;  Liang Gao;  Chaopeng Shen; et al.
Favorite | TC[WOS]:12 TC[Scopus]:12  IF:3.0/3.3 | Submit date：2022/05/31
Data-driven Modeling  Hydrological Modeling  Physics-guided Neural Network (Pgnn)  
A robust surrogate model of a solid oxide cell based on an adaptive polynomial approximation method Journal article
Yingtian Chi, Yiwei Qiu, Jin Lin, Yonghua Song, Wenying Li, Qiang Hu, Shujun Mu, Min Liu. A robust surrogate model of a solid oxide cell based on an adaptive polynomial approximation method[J]. International Journal of Hydrogen Energy, 2020, 45(58), 32949-32971.
Authors:  Yingtian Chi;  Yiwei Qiu;  Jin Lin;  Yonghua Song;  Wenying Li; et al.
Favorite | TC[WOS]:12 TC[Scopus]:16  IF:8.1/7.3 | Submit date：2021/04/29
Solid Oxide Cell  Modeling  Adaptive Polynomial Approximation  Experiments  Data-driven