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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