English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 14 Help

Selected(0)Clear Items/Page:    Sort:
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  
Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion Journal article
Huang, Xiaojia, Wang, Chen, Zhang, Shenghui. Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion[J]. Energy, 2024, 293, 130606.
Authors:  Huang, Xiaojia;  Wang, Chen;  Zhang, Shenghui
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:9.0/8.2 | Submit date：2024/05/02
Model Selection  Multi-objective Optimization Algorithm  Theoretical Power Generation  Wind Speed Forecasting  
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  
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  
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  
Wind speed forecasting based on hybrid model with model selection and wind energy conversion Journal article
Chen Wang, Shenghui Zhang, Peng Liao, Tonglin Fu. Wind speed forecasting based on hybrid model with model selection and wind energy conversion[J]. RENEWABLE ENERGY, 2022, 196, 763-781.
Authors:  Chen Wang;  Shenghui Zhang;  Peng Liao;  Tonglin Fu
Favorite | TC[WOS]:15 TC[Scopus]:18  IF:9.0/8.1 | Submit date：2022/08/02
Model Selection  Wind Power Conversion  Hybrid Models  Wind Speed 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]: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  
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  
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