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A Novel Wind Speed Interval Prediction Based on Error Prediction Method Journal article
IEEE Transactions on Industrial Informatics, 2020,Volume: 16,Issue: 11,Page: 6806-6815
Authors:  Tang,Geng;  Wu,Yifan;  Li,Chaoshun;  Wong,Pak Kin;  Xiao,Zhihuai;  An,Xueli
Favorite |  | TC[WOS]:3 TC[Scopus]:3 | Submit date:2021/03/09
Deep learning  error prediction  gated recurrent unit  interval prediction  wind speed prediction  
Dempster–Shafer structure based fuzzy logic system for stochastic modeling Journal article
Applied Soft Computing Journal, 2017,Volume: 56,Page: 134-142
Authors:  Li H.-X.;  Wang Y.;  Chen C.L.P.
Favorite |  | TC[WOS]:11 TC[Scopus]:11 | Submit date:2019/02/11
Dempster–Shafer theory  Fuzzy logic system  Stochastic uncertainty  
Dempster-Shafer structure based fuzzy logic system for stochastic modeling Journal article
APPLIED SOFT COMPUTING, 2017,Volume: 56,Page: 134-142
Authors:  Li, Han-Xiong;  Wang, Yan;  Chen, C. L. Philip
Favorite |  | TC[WOS]:11 TC[Scopus]:11 | Submit date:2018/10/30
Fuzzy logic system  Dempster-Shafer theory  Stochastic 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:2019/02/12
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:2021/03/09
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  
Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting Journal article
IEEE Transactions on Sustainable Energy, 2015,Volume: 6,Issue: 4,Page: 1416
Authors:  Zhang C.-Y.;  Chen C.L.P.;  Gan M.;  Chen L.
Favorite |  | TC[WOS]:90 TC[Scopus]:115 | Submit date:2018/10/30
Deep Boltzmann Machine (Dbm)  Deep Learning  Time Series  Wind Speed Prediction  
A Potential Method for Determining Nonlinearity in Wind Data Journal article
IEEE Power and Energy Technology Systems Journal, 2015,Volume: 2,Page: 74-81
Authors:  Gan,Min;  Li,Han Xiong;  Chen,C. L.Philip;  Chen,Long
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/03/09
Nonlinearity  surrogate data test  white noise  wind forecasting  
Development of an adaptive empirical model for storm tide simulation Conference paper
Proceedings of the Coastal Engineering Conference, Seoul, Korea, 2014
Authors:  U Hin Lai;  Ka In Hoi;  Kai Meng Mok
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/12
Adaptive Model  Flooding  Kalman Filter  Storm Surge  Storm Tide