UM

Browse/Search Results:  1-10 of 12 Help

Selected(0)Clear Items/Page:    Sort:
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]:0 TC[Scopus]:0 | 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]:4 TC[Scopus]:7 | 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
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 1,Page: 424-439
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:7 TC[Scopus]:12 | Submit date:2021/03/09
Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power  
Weather research and forecasting model simulations over the Pearl River Delta Region Journal article
Air Quality, Atmosphere and Health, 2019,Volume: 12,Issue: 1,Page: 115-125
Authors:  Lopes,D.;  Ferreira,J.;  Hoi,K. I.;  Miranda,A. I.;  Yuen,K. V.;  Mok,K. M.
Favorite |  | TC[WOS]:2 TC[Scopus]:4 | Submit date:2021/03/09
Air quality modelling  Parameterization schemes  Pearl River Delta  WRF-ARW  
Weather research and forecasting model simulations over the Pearl River Delta Region Journal article
Air Quality, Atmosphere and Health, 2019,Volume: 12,Issue: 1,Page: 115-125
Authors:  Lopes D.;  Ferreira J.;  Hoi K.I.;  Miranda A.I.;  Yuen K.V.;  Mok K.M.
Favorite |  | TC[WOS]:2 TC[Scopus]:4 | Submit date:2019/02/12
Air Quality Modelling  Parameterization Schemes  Pearl River Delta  Wrf-arw  
A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019,Volume: 10,Issue: 1,Page: 226-237
Authors:  Lin, You;  Yang, Ming;  Wan, Can;  Wang, Jianhui;  Song, Yonghua
Favorite |  | TC[WOS]:37 TC[Scopus]:51 | Submit date:2019/01/17
Terms-multi-model Combination  Probabilistic Forecasting  Wind Power  Uncertainty  
Development of an adaptive Kalman filter-based storm tide forecasting model Journal article
Journal of Hydrodynamics, 2016,Volume: 28,Issue: 6,Page: 1029-1036
Authors:  MOK,K. M.;  LAI,U. H.;  HOI,K. I.
Favorite |  | TC[WOS]:1 TC[Scopus]:3 | Submit date:2021/03/09
adaptive model  flooding  Kalman filter  Macau  storm tide  
Development of an adaptive Kalman filter-based storm tide forecasting model Journal article
Journal of Hydrodynamics, 2016,Volume: 28,Issue: 6,Page: 1029-1036
Authors:  MOK K.M.;  LAI U.H.;  HOI K.I.
Favorite |  | TC[WOS]:1 TC[Scopus]:3 | Submit date:2019/02/12
Adaptive Model  Flooding  Kalman Filter  Macau  Storm Tide  
Development of an adaptive Kalman filter-based storm tide forecasting model Conference paper
Proceedings of the Second Conference of Global Chinese Scholars on Hydrodynamics (CCSH'2016), Wuxi, PEOPLES R CHINA, NOV 11-14, 2016
Authors:  Mok, K. M.;  Lai, U. H.;  Hoi, K. I.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/06/07
Adaptive Model  Flooding  Kalman Filter  Macau  Storm Tide  
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]:2 | Submit date:2019/05/17
Nonlinearity  Surrogate Data Test  Wind Forecasting  White Noise