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Machine Learning-Based Probabilistic Forecasting of Wind Power Generation: A Combined Bootstrap and Cumulant Method Journal article
Wan, Can, Cui, Wenkang, Song, Yonghua. Machine Learning-Based Probabilistic Forecasting of Wind Power Generation: A Combined Bootstrap and Cumulant Method[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1370-1383.
Authors:  Wan, Can;  Cui, Wenkang;  Song, Yonghua
Favorite | TC[WOS]:6 TC[Scopus]:10  IF:6.5/7.4 | Submit date：2024/02/22
Bootstrap  Cumulant  Machine Learning  Probabilistic Forecasting  Uncertainty Quantification  Wind Power  
Probabilistic Forecasting-Based Reserve Determination Considering Multi-Temporal Uncertainty of Renewable Energy Generation Journal article
Xu, Yuqi, Wan, Can, Liu, Hui, Zhao, Changfei, Song, Yonghua. Probabilistic Forecasting-Based Reserve Determination Considering Multi-Temporal Uncertainty of Renewable Energy Generation[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1019-1031.
Authors:  Xu, Yuqi;  Wan, Can;  Liu, Hui;  Zhao, Changfei;  Song, Yonghua
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:6.5/7.4 | Submit date：2024/02/22
Itã'-process Model  Multi-temporal Uncertainty  Probabilistic Forecasting  Ramp Capability Reserve  Regulating Reserve  Reserve Determination  
Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology Journal article
Li, Yunyi, Wan, Can, Cao, Zhaojing, Song, Yonghua. Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology[J]. IEEE Transactions on Power Systems, 2023, 38(6), 5820-5833.
Authors:  Li, Yunyi;  Wan, Can;  Cao, Zhaojing;  Song, Yonghua
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.5/7.4 | Submit date：2023/12/04
Data-driven  Probabilistic Forecasting  Probabilistic Optimal Power Flow  Renewable Energy  Similarity Measurement  Uncertainty  
Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation Journal article
Cui,Wenkang, Wan,Can, Song,Yonghua. Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation[J]. IEEE Transactions on Power Systems, 2022, 38(4), 3163-3178.
Authors:  Cui,Wenkang;  Wan,Can;  Song,Yonghua
Favorite | TC[WOS]:22 TC[Scopus]:25  IF:6.5/7.4 | Submit date：2023/08/03
Deep Learning  Ensemble  Non-crossing  Probabilistic Forecasting  Quantile Regression  Wind Power  
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]:32 TC[Scopus]:37  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  
Hybrid Probabilistic Forecasting of Photovoltaic Power Generation Considering Weather Conditions Conference paper
Wenkang Cui, Can Wan, Yonghua Song. Hybrid Probabilistic Forecasting of Photovoltaic Power Generation Considering Weather Conditions[C]:IEEE, 2022.
Authors:  Wenkang Cui;  Can Wan;  Yonghua Song
Favorite | TC[Scopus]:1 | Submit date：2023/01/30
Probabilistic Forecasting  Photovoltaic Power  Hidden Markov Model  Quantile Regression  Weather Condition  
An Adaptive Ensemble Data Driven Approach for Nonparametric Probabilistic Forecasting of Electricity Load Journal article
Wan, Can, Cao, Zhaojing, Lee, Wei Jen, Song, Yonghua, Ju, Ping. An Adaptive Ensemble Data Driven Approach for Nonparametric Probabilistic Forecasting of Electricity Load[J]. IEEE Transactions on Smart Grid, 2021, 12(6), 5396-5408.
Authors:  Wan, Can;  Cao, Zhaojing;  Lee, Wei Jen;  Song, Yonghua;  Ju, Ping
Favorite | TC[WOS]:20 TC[Scopus]:29  IF:8.6/9.6 | Submit date：2021/12/08
Forecasting  Probabilistic Logic  Uncertainty  Predictive Models  Load Forecasting  Load Modeling  Wind Power Generation  Probabilistic Forecasting  Load Forecasting  Data Mining  Uncertainty  Information Entropy  Weighted Resample  
Probabilistic Forecasting Based Sizing and Control of Hybrid Energy Storage for Wind Power Smoothing Journal article
Wan, Can, Qian, Weiting, Zhao, Changfei, Song, Yonghua, Yang, Guangya. Probabilistic Forecasting Based Sizing and Control of Hybrid Energy Storage for Wind Power Smoothing[J]. IEEE Transactions on Sustainable Energy, 2021, 12(4), 1841-1852.
Authors:  Wan, Can;  Qian, Weiting;  Zhao, Changfei;  Song, Yonghua;  Yang, Guangya
Favorite | TC[WOS]:43 TC[Scopus]:67  IF:8.6/8.6 | Submit date：2021/12/08
Fluctuation Smoothing  Hybrid Storage Systems  Probabilistic Forecasting  Stochastic Optimization  Wind Power  
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]:50 TC[Scopus]:66  IF:6.5/7.4 | Submit date：2021/03/09
Probabilistic Forecasting  Wind Power  Machine Learning  Operating Reserve  Prediction Interval  Mixed Integer Linear Programming  
A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns Journal article
Jiang, Zhengbang, Wu, Hao, Zhu, Bingquan, Gu, Wei, Zhu, Yingwei, Song, Yonghua, Ju, Ping. A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns[J]. IEEE Access, 2021, 9, 76551-76563.
Authors:  Jiang, Zhengbang;  Wu, Hao;  Zhu, Bingquan;  Gu, Wei;  Zhu, Yingwei; et al.
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:3.4/3.7 | Submit date：2022/05/13
Bottom-up  Load Pattern  Medium Voltage  Probabilistic Load Forecasting  Short-term Load Forecasting