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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 | View/Download:14/0 | TC[WOS]:18 TC[Scopus]:43 | Submit date:2019/01/17
Terms-Multi-model combination  probabilistic forecasting  wind power  uncertainty  
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2016,Volume: 27,Issue: 12,Page: 2683-2695
Authors:  Lian C.;  Zeng Z.;  Yao W.;  Tang H.;  Chen C.L.P.
Favorite | View/Download:9/0 | TC[WOS]:22 TC[Scopus]:34 | Submit date:2019/02/11
Displacement prediction  feedforward neural networks  landslide  prediction interval (PI)  
Prediction Intervals for Landslide Displacement Based on Switched Neural Networks Journal article
IEEE Transactions on Reliability, 2016,Volume: 65,Issue: 3,Page: 1483-1495
Authors:  Lian C.;  Philip Chen C.L.;  Zeng Z.;  Yao W.;  Tang H.
Favorite | View/Download:11/0 | TC[WOS]:12 TC[Scopus]:19 | Submit date:2019/02/11
Extreme learning machine (ELM)  landslide displacement prediction  prediction intervals (PIs)  switched prediction  
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 | View/Download:10/0 | TC[WOS]:63 TC[Scopus]:103 | Submit date:2018/10/30
Deep Boltzmann Machine (Dbm)  Deep Learning  Time Series  Wind Speed Prediction