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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 |
