UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
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]:6 TC[Scopus]:8  IF:10.1/10.4 | Submit date:2024/10/10
Hosting Capacity  Hydrogen Fuel Cell Vehicles  Hydrogen Production  Polynomial Chaos Expansion  Probabilistic Evaluation  
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  
Surrogate Model-Based Multi-timescale Stochastic Control of Islanded Cascaded Hydro-Solar System Considering Non-Gaussian Uncertainty Conference paper
Zhipeng Yu, Yiwei Qiu, Jin Lin, Feng Liu, Yonghua Song, Gang Chen, Lijie Ding. Surrogate Model-Based Multi-timescale Stochastic Control of Islanded Cascaded Hydro-Solar System Considering Non-Gaussian Uncertainty[C]:IEEE, 2021, 982-988.
Authors:  Zhipeng Yu;  Yiwei Qiu;  Jin Lin;  Feng Liu;  Yonghua Song; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Automatic Generation Control  Hydro-solar System  Itô Process  Model Predict Control  Multi-timescales  Polynomial Chaos  Stochastic Control  Surrogate Model  Uncertainty  
Nonintrusive Uncertainty Quantification of Dynamic Power Systems Subject to Stochastic Excitations Journal article
Qiu,Yiwei, Lin,Jin, Chen,Xiaoshuang, Liu,Feng, Song,Yonghua. Nonintrusive Uncertainty Quantification of Dynamic Power Systems Subject to Stochastic Excitations[J]. IEEE Transactions on Power Systems, 2021, 36(1), 402-414.
Authors:  Qiu,Yiwei;  Lin,Jin;  Chen,Xiaoshuang;  Liu,Feng;  Song,Yonghua
Favorite | TC[WOS]:21 TC[Scopus]:32  IF:6.5/7.4 | Submit date:2021/03/09
Dynamic Uncertainty Quantification  Itô Process  Karhunen-loève Expansion  Polynomial Chaos  Stochastic Differential Equations  Stochastic Excitations