UM

Browse/Search Results:  1-10 of 12 Help

Selected(0)Clear Items/Page:    Sort:
Probabilistic Forecasting Based Sizing and Control of Hybrid Energy Storage for Wind Power Smoothing Journal article
IEEE Transactions on Sustainable Energy, 2021,Volume: 12,Issue: 4,Page: 1841-1852
Authors:  Wan, Can;  Qian, Weiting;  Zhao, Changfei;  Song, Yonghua;  Yang, Guangya
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/12/08
Fluctuation smoothing  hybrid storage systems  probabilistic forecasting  stochastic optimization  wind power  
Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in Eastern China Journal article
Energy Conversion and Management, 2021,Volume: 243
Authors:  Wang, Chen;  Zhang, Shenghui;  Xiao, Ling;  Fu, Tonglin
Favorite |  | TC[WOS]:5 TC[Scopus]:6 | Submit date:2021/12/08
Combined forecasting model  Model selection  Multi-objective algorithm  Wind energy conversion  
Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction Journal article
Applied Energy, 2021,Volume: 293
Authors:  Hu, Shuai;  Xiang, Yue;  Zhang, Hongcai;  Xie, Shanyi;  Li, Jianhua;  Gu, Chenghong;  Sun, Wei;  Liu, Junyong
Favorite |  | TC[WOS]:7 TC[Scopus]:6 | Submit date:2021/09/09
Gaussian Process  Hybrid Model  Kernel Function  Numerical Weather Prediction  Spatial Correlation  Wind Power Forecasting  
Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target Journal article
Energy, 2021,Volume: 215
Authors:  Dong, Yunxuan;  Wang, Jing;  Xiao, Ling;  Fu, Tonglin
Favorite |  | TC[WOS]:5 TC[Scopus]:4 | Submit date:2021/12/07
Convolutional Neural Networks  Hybrid Forecast Approach  Optimization Algorithm  Wind Speed Forecasting  
Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:3 TC[Scopus]:4 | Submit date:2021/03/09
Forecasting  machine learning  mixed integer linear programming  Operating reserve  prediction interval  probabilistic forecasting  Probabilistic logic  Stochastic processes  Uncertainty  Upper bound  Wind forecasting  wind power  Wind power generation  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020,Volume: 35,Issue: 5,Page: 3869-3884
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
Favorite |  | TC[WOS]:13 TC[Scopus]:18 | Submit date:2021/05/10
Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings Review article
2020
Authors:  Ahmad, Tanveer;  Zhang, Hongcai;  Yan, Biao
Favorite |  | TC[WOS]:67 TC[Scopus]:85 | Submit date:2021/09/09
Renewable Energy Sources  Forecasting Models  Energy Planning  Machine Learning Models  Ensemble Models  Artificial Neural Networks  
An Adaptive Bilevel Programming Model for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE Transactions on Power Systems, 2019,Volume: 35,Issue: 1,Page: 424-439
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:17 TC[Scopus]:24 | Submit date:2021/03/09
Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power  
A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018,Volume: 10,Issue: 1,Page: 226-237
Authors:  Lin, You;  Yang, Ming;  Wan, Can;  Wang, Jianhui;  Song, Yonghua
Favorite |  | TC[WOS]:57 TC[Scopus]:69 | Submit date:2019/01/17
Terms-multi-model Combination  Probabilistic Forecasting  Wind Power  Uncertainty  
A Potential Method for Determining Nonlinearity in Wind Data Conference paper
IEEE Power and Energy Technology Systems Journal, USA, 2015
Authors:  MIN GAN;  HAN-XIONG LI;  C. L. PHILIP CHEN;  LONG CHEN
Favorite |  | TC[WOS]:0 TC[Scopus]:3 | Submit date:2019/05/17
Nonlinearity  Surrogate Data Test  Wind Forecasting  White Noise