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Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling Journal article
Xiao, Ling, Li, Miaotong, Zhang, Shenghui. Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling[J]. Energy Reports, 2022, 8, 6672-6686.
Authors:  Xiao, Ling;  Li, Miaotong;  Zhang, Shenghui
Favorite | TC[WOS]:16 TC[Scopus]:17  IF:4.7/5.0 | Submit date:2022/08/02
Adaptive Boosting Algorithm  Extreme Learning Machine  Nonparametric Bootstrap Sampling  Power Load Interval Forecasting  
Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision Journal article
Zhao, Changfei, Wan, Can, Song, Yonghua. Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision[J]. IEEE Transactions on Power Systems, 2022, 37(4), 3048-3062.
Authors:  Zhao, Changfei;  Wan, Can;  Song, Yonghua
Favorite | TC[WOS]:36 TC[Scopus]:41  IF:6.5/7.4 | Submit date:2022/05/13
Costs  Decision Making  Decision Making  Forecasting  Forecasting  Machine Learning  Prediction Interval  Probabilistic Logic  Renewable Energy  Renewable Energy Sources  Uncertainty  Uncertainty  Wind Power Generation  
Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
Zhao,Changfei, Wan,Can, Song,Yonghua. Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model[J]. IEEE Transactions on Power Systems, 2021, 36(4), 3701-3714.
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite | TC[WOS]:54 TC[Scopus]:71  IF:6.5/7.4 | Submit date:2021/03/09
Probabilistic Forecasting  Wind Power  Machine Learning  Operating Reserve  Prediction Interval  Mixed Integer Linear Programming  
Electrical load forecasting: A deep learning approach based on K-nearest neighbors Journal article
Dong, Yunxuan, Ma, Xuejiao, Fu, Tonglin. Electrical load forecasting: A deep learning approach based on K-nearest neighbors[J]. Applied Soft Computing, 2021, 99, 106900.
Authors:  Dong, Yunxuan;  Ma, Xuejiao;  Fu, Tonglin
Favorite | TC[WOS]:79 TC[Scopus]:97  IF:7.2/7.0 | Submit date:2021/12/07
Deep Learning Approach  Electrical Load Interval Forecasting  K-nearest Neighbors  Kernel Density Estimation  
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
Wan,Can, Song,Yonghua. 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[J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45(1), 2-16.
Authors:  Wan,Can;  Song,Yonghua
Favorite | TC[Scopus]:88 | Submit date:2021/03/09
Artificial Intelligence  Power System  Prediction Interval  Probabilistic Forecasting  Renewable Energy  Uncertainty  
An estimating combination method for interval forecasting of electrical load time series Journal article
Ma, Xuejiao, Dong, Yunxuan. An estimating combination method for interval forecasting of electrical load time series[J]. Expert Systems with Applications, 2020, 158.
Authors:  Ma, Xuejiao;  Dong, Yunxuan
Favorite | TC[WOS]:19 TC[Scopus]:22  IF:7.5/7.6 | Submit date:2021/12/06
Distribution Estimation  Electrical Load Time Series  Feature Selection  Interval Forecasting  Machine Learning Method  
Optimal Nonparametric Prediction Intervals of Electricity Load Journal article
Zhao,Changfei, Wan,Can, Song,Yonghua, Cao,Zhaojing. Optimal Nonparametric Prediction Intervals of Electricity Load[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35(3), 2467-2470.
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua;  Cao,Zhaojing
Favorite | TC[WOS]:19 TC[Scopus]:27  IF:6.5/7.4 | Submit date:2021/03/09
Prediction Interval  Load Forecasting  Machine Learning  Mixed Integer Programming  Binary Variable Reduction  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
Can Wan, Changfei Zhao, Yonghua Song. Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35(5), 3869-3884.
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
Favorite | TC[WOS]:46 TC[Scopus]:62  IF:6.5/7.4 | Submit date:2021/05/10
Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
An Adaptive Bilevel Programming Model for Nonparametric Prediction Intervals of Wind Power Generation Journal article
Zhao,Changfei, Wan,Can, Song,Yonghua. An Adaptive Bilevel Programming Model for Nonparametric Prediction Intervals of Wind Power Generation[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35(1), 424-439.
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite | TC[WOS]:61 TC[Scopus]:76  IF:6.5/7.4 | Submit date:2021/03/09
Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power