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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