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Comparative Analysis of Offshore Wind Power Prediction Models and Clustering-Based Daily Output Classification Conference paper
Ou, Zhongxi, Lan, Wei, Zhang, Liang, Tong, Zhu, Liu, Dundun, Liu, Zhaoxi. Comparative Analysis of Offshore Wind Power Prediction Models and Clustering-Based Daily Output Classification[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1482-1487.
Authors:  Ou, Zhongxi;  Lan, Wei;  Zhang, Liang;  Tong, Zhu;  Liu, Dundun; et al.
Favorite | TC[Scopus]:1 | Submit date:2024/09/03
Gru  K-means Clustering  Lstm  Offshore Wind Power  Offshore Wind Power Forecasting  Prediction Accuracy  Prediction Models  
Adaptive short-term wind power forecasting with concept drifts Journal article
Li, Yanting, Wu, Zhenyu, Su, Yan. Adaptive short-term wind power forecasting with concept drifts[J]. Renewable Energy, 2023, 217, 119146.
Authors:  Li, Yanting;  Wu, Zhenyu;  Su, Yan
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:9.0/8.1 | Submit date:2023/09/21
Adaptive Prediction  Concept Drift  Feature Extraction  Numerical Weather Prediction  Wind Power Forecasting  Wind Turbine  
Wind Power Prediction Based on Multi-Class Autoregressive Moving Average Model with Logistic Function Journal article
Yunxuan Dong, Shaodan Ma, Hongcai Zhang, Guanghua Yang. Wind Power Prediction Based on Multi-Class Autoregressive Moving Average Model with Logistic Function[J]. Journal of Modern Power Systems and Clean Energy, 2022, 10(5), 1184 - 1193.
Authors:  Yunxuan Dong;  Shaodan Ma;  Hongcai Zhang;  Guanghua Yang
Favorite | TC[WOS]:21 TC[Scopus]:23  IF:5.7/5.4 | Submit date:2023/03/01
Wind Power Prediction  Wind Generation  Time Series Analysis  Logistic Function Based Classification  
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  
Conformalized temporal convolutional quantile regression networks for wind power interval forecasting Journal article
Hu, Jianming, Luo, Qingxi, Tang, Jingwei, Heng, Jiani, Deng, Yuwen. Conformalized temporal convolutional quantile regression networks for wind power interval forecasting[J]. ENERGY, 2022, 248, 123497.
Authors:  Hu, Jianming;  Luo, Qingxi;  Tang, Jingwei;  Heng, Jiani;  Deng, Yuwen
Favorite | TC[WOS]:27 TC[Scopus]:33  IF:9.0/8.2 | Submit date:2022/05/13
Conformalized Quantile Regression  Temporal Convolutional Network  Wind Power Interval Prediction  
Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction Journal article
Hu, Shuai, Xiang, Yue, Zhang, Hongcai, Xie, Shanyi, Li, Jianhua, Gu, Chenghong, Sun, Wei, Liu, Junyong. Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction[J]. Applied Energy, 2021, 293(116951).
Authors:  Hu, Shuai;  Xiang, Yue;  Zhang, Hongcai;  Xie, Shanyi;  Li, Jianhua; et al.
Favorite | TC[WOS]:70 TC[Scopus]:88  IF:10.1/10.4 | Submit date:2021/09/09
Wind Power Forecasting  Hybrid Model  Gaussian Process  Numerical Weather Prediction  Spatial Correlation  Kernel Function  
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  
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]:45 TC[Scopus]:60  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]:59 TC[Scopus]:74  IF:6.5/7.4 | Submit date:2021/03/09
Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power