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Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river 期刊论文
, 2020, 卷号: 142
作者:  Phan T.-T.-H.;  Nguyen X.H.
收藏  |  浏览/下载：17/0  |  提交时间：2020/07/28
Autoregressive moving average model  Cost effectiveness  Disaster prevention  Forecasting  Learning algorithms  Water levels  Water resources  Auto-regressive integrated moving average  Computational time  Cost-effective solutions  Linear and nonlinear models  Physically based models  Statistical machine learning  Time series forecasting  Water level forecasting  Machine learning  data set  flood forecasting  forecasting method  hydrological modeling  machine learning  numerical model  performance assessment  river water  water level  Hanoi  Red River [Asia]  Viet Nam  
Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models 期刊论文
, 2020, 卷号: 136
作者:  Papacharalampous G.;  Koutsoyiannis D.;  Montanari A.
收藏  |  浏览/下载：20/0  |  提交时间：2020/07/28
Climate models  Forecasting  Hydrology  Regression analysis  Uncertainty analysis  Ensemble learning  Hydrological modeling  Probabilistic prediction  Quantile averaging  Quantile regression  Uncertainty quantifications  Learning systems  ensemble forecasting  error analysis  hydrological modeling  learning  model test  performance assessment  prediction  probability  quantitative analysis  uncertainty analysis