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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
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
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  
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]:4 TC[Scopus]:7 | Submit date:2021/05/10
Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
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
Favorite |  | TC[WOS]:2 TC[Scopus]:4 | Submit date:2021/03/09
Binary Variable Reduction  Load Forecasting  Machine Learning  Mixed Integer Programming  Prediction Interval  
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
Favorite |  | TC[WOS]:8 TC[Scopus]:12 | Submit date:2021/03/09
Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power