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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  
A hybrid shape-based image clustering using time-series analysis Journal article
Multimedia Tools and Applications, 2021,Volume: 80,Issue: 3,Page: 3793-3808
Authors:  Mondal,Atreyee;  Dey,Nilanjan;  Fong,Simon;  Ashour,Amira S.
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Hierarchical clustering  Image to time-series conversion  Pearson correlation distance metric  Shape clustering  Shape similarity  
Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients Journal article
Journal of Medical Virology, 2021,Volume: 93,Issue: 3,Page: 1443-1448
Authors:  Xue M.;  Zhang T.;  Hu H.;  Huang Z.;  Zhen Y.;  Liang Y.;  Zeng Y.;  Jin T.;  Zhou L.;  Zhang X.D.;  Sun B.
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Covid-19  Iga  Igg  Prediction Effects  
Forecasting COVID-19 Time Series Based on an Autoregressive Model Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 41-54
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Prediction for Decision Support During the COVID-19 Pandemic Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 1-13
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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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  
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting Conference paper
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Authors:  Tian,Kelang;  Guo,Jingjie;  Ye,Kejiang;  Xu,Cheng Zhong
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Graph Convolutional Networks  Spatial-Temporal Model  Traffic Forecasting  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020,Volume: 35,Issue: 5,Page: 3869-3884
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
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Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction Journal article
Applied Soft Computing Journal, 2020,Volume: 93
Authors:  Fong,Simon James;  Li,Gloria;  Dey,Nilanjan;  Crespo,Rubén González;  Herrera-Viedma,Enrique
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2019-nCoV  Coronavirus  COVID-19  Decision support  Monte Carlo simulation