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Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model of frequency response functions Journal article
Mechanical Systems and Signal Processing, 2021,Volume: 156
Authors:  Yan,Wang Ji;  Cao,Shi Ze;  Ren,Wei Xin;  Yuen,Ka Veng;  Li,Dan;  Katafygiotis,Lambros
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Bayesian theory  Distributed parallel computing  Frequency response function  Model updating  Structural health monitoring  Vectorization computation  
Non-probabilistic uncertainty quantification for dynamic characterization functions using complex ratio interval arithmetic operation of multidimensional parallelepiped model Journal article
Mechanical Systems and Signal Processing, 2021,Volume: 156
Authors:  Zhao,Meng Yun;  Yan,Wang Ji;  Yuen,Ka Veng;  Beer,Michael
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Complex interval division  Frequency response function  Interval analysis  Parallelepiped model  Structural health monitoring  Transmissibility  
Multinomial Bayesian extreme learning machine for sparse and accurate classification model Journal article
Neurocomputing, 2021,Volume: 423,Page: 24-33
Authors:  Luo,Jiahua;  Wong,Chi Man;  Vong,Chi Man
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Extreme learning machine  Multi-class classification  Multinomial distribution  Sparse Bayesian  Sparse learning  
Theories, Methodologies and Applications of Probabilistic Forecasting for Power Systems with Renewable Energy Sources 新能源电力系统概率预测理论与方法及其应用 Journal article
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021,Volume: 45,Issue: 1,Page: 2-16
Authors:  Wan,Can;  Song,Yonghua
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Artificial intelligence  Power system  Prediction interval  Probabilistic forecasting  Renewable energy  Uncertainty  
Parametric Problems in Power System Analysis: Recent Applications of Polynomial Approximation Based on Galerkin Method Journal article
Journal of Modern Power Systems and Clean Energy, 2021,Volume: 9,Issue: 1,Page: 1-12
Authors:  Wu,Hao;  Shen,Danfeng;  Xia,Bingqing;  Qiu,Yiwei;  Zhou,Yongzhi;  Song,Yonghua
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Galerkin method  Parametric problem  polynomial approximation  power system analysis  stochastic problem  
Nonintrusive Uncertainty Quantification of Dynamic Power Systems Subject to Stochastic Excitations Journal article
IEEE Transactions on Power Systems, 2021,Volume: 36,Issue: 1,Page: 402-414
Authors:  Qiu,Yiwei;  Lin,Jin;  Chen,Xiaoshuang;  Liu,Feng;  Song,Yonghua
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Dynamic Uncertainty Quantification  Itô Process  Karhunen-loève Expansion  Polynomial Chaos  Stochastic Differential Equations  Stochastic Excitations  
Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost Journal article
IEEE Transactions on Smart Grid, 2021
Authors:  Huang,Chao;  Zhang,Hongcai;  Song,Yonghua;  Wang,Long;  Ahmad,Tanveer;  Luo,Xiong
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Demand response  Forecasting  industrial micro-grid  Manufacturing  mixed integer nonlinear programming.  multi-energy  Optimization  Optimization methods  Probabilistic logic  Production  Uncertainty  
Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
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Forecasting  machine learning  mixed integer linear programming  Operating reserve  prediction interval  probabilistic forecasting  Probabilistic logic  Stochastic processes  Uncertainty  Upper bound  Wind forecasting  wind power  Wind power generation  
White learning methodology: A case study of cancer-related disease factors analysis in real-time PACS environment Journal article
Computer Methods and Programs in Biomedicine, 2020,Volume: 197
Authors:  Li,Tengyue;  Fong,Simon;  Siu,Shirley W.I.;  Yang,Xin she;  Liu,Lian Sheng;  Mohammed,Sabah
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Bayesian network  Data mining methodology  Deep learning  Radiological data analysis  
Domain recurrence and probabilistic analysis of residence time of stochastic systems and domain aiming control Journal article
International Journal of Robust and Nonlinear Control, 2020,Volume: 30,Issue: 16,Page: 6585-6605
Authors:  Yin,Juliang;  Ding,Deng;  Khoo,Suiyang
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domain aiming control  recurrence  regularity  residence time  stochastic nonlinear systems