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Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction Journal article
Applied Energy, 2021,Volume: 293
Authors:  Hu, Shuai;  Xiang, Yue;  Zhang, Hongcai;  Xie, Shanyi;  Li, Jianhua;  Gu, Chenghong;  Sun, Wei;  Liu, Junyong
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Gaussian Process  Hybrid Model  Kernel Function  Numerical Weather Prediction  Spatial Correlation  Wind Power Forecasting  
Fast Wasserstein-Distance-Based Distributionally Robust Chance-Constrained Power Dispatch for Multi-Zone HVAC Systems Journal article
IEEE Transactions on Smart Grid, 2021,Volume: 12,Issue: 5,Page: 4016-4028
Authors:  Chen, Ge;  Zhang, Hongcai;  Hui, Hongxun;  Song, Yonghua
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Chance-constrained Optimization  Distributionally Robust Optimization  Hvac  Multi-zone  Wasserstein Distance  
Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost Journal article
IEEE Transactions on Smart Grid, 2021,Volume: 12,Issue: 4
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  
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  
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  
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: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 41-54
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Prediction for Decision Support During the COVID-19 Pandemic Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 1-13
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Journal article
IEEE Transactions on Intelligent Transportation Systems, 2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
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Accidents  Computer Architecture  Deep Learning  Deep Learning  Gcn  Gnns  Graph  Graph Convolution Network  Graph Neural Networks  Its.  Public Transportation  Roads  Task Analysis  Traffic Domain  Traffic Forecasting  Urban Areas  
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