Flood prediction using machine learning models: Literature review
Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …
The research on the advancement of flood prediction models contributed to risk reduction …
Hybrid forecasting model for non-stationary daily runoff series: a case study in the Han River Basin, China
T ** a reliable stage-discharge rating curve is a fundamental …
Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting
Many countries are suffering from water resource constraints due to rising demands from
different water-consuming sectors and a changing climate. In some countries, such as …
different water-consuming sectors and a changing climate. In some countries, such as …
Runoff forecast uncertainty considered load adjustment model of cascade hydropower stations and its application
Z Jiang, R Li, A Li, C Ji - Energy, 2018 - Elsevier
The power generation plan formulated based on the forecasted runoff is an important basis
for the operation of hydropower station. However, due to the unavoidable forecast error, the …
for the operation of hydropower station. However, due to the unavoidable forecast error, the …