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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
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Artificial intelligence  Power system  Prediction interval  Probabilistic forecasting  Renewable energy  Uncertainty  
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
Favorite |  | TC[WOS]:7 TC[Scopus]:8 | Submit date:2021/05/10
Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting Conference paper
Proceedings of the International Joint Conference on Neural Networks
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
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GCN  LSTM  Passenger flow forecasting  Spatial-Temporal Forecasting  
Optimal Nonparametric Prediction Intervals of Electricity Load Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 3,Page: 2467-2470
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua;  Cao,Zhaojing
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Binary Variable Reduction  Load Forecasting  Machine Learning  Mixed Integer Programming  Prediction Interval  
Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 3,Page: 1881-1897
Authors:  Cao,Zhaojing;  Wan,Can;  Zhang,Zijun;  Li,Furong;  Song,Yonghua
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Deep Learning  Ensemble Learning  Forecasting  k Nearest Neighbor  Low-voltage Load  
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network Journal article
Knowledge-Based Systems, 2020,Volume: 192
Authors:  Iat Hang Fong;  Tengyue Li;  Simon Fong;  Raymond K. Wong;  Antonio J. Tallón-Ballesteros
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Forecasting  Environment Monitoring  Transfer Learning  Recurrent Neural Network  Airborne Particle Matter  
An Adaptive Bilevel Programming Model for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 1,Page: 424-439
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
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Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power