Hydrological modeling is an indispensable component of water resources research and
management in large river basins. There is a tendency for each new group working in a …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

In the research, the role of three input selection techniques is evaluated on support vector
machine (SVM) performance for prediction of monthly stream flow. First, a SVM model is …

Abstract Purpose of Review The management of hydroelectric generation in the context of
power system operations has been a difficult and important problem since the inception of …

Spatio-temporal series prediction has attracted increasing attention in the field of
meteorology in recent years. The spatial and temporal joint effect makes predictions …

Hydro-thermal scheduling is the problem of finding an optimal dispatch of power plants in a
system containing both hydro and thermal plants. Since hydro plants are able to store water …

This study investigates the effect of discrete wavelet transform data pre-processing method
on neural network-based successive-station monthly streamflow prediction models. For this …

Seasonal river flow forecasting methods are currently being developed for country-wide
application in the United Kingdom, using several different techniques. In this paper, methods …

This work focuses on developing a forecasting model for the water inflow at an hydroelectric
plant's reservoir for operations planning. The planning horizon is 5 years in monthly steps …

In the world's water scarce regions, groundwater as an important and strategic resource
needs proper assessment. An accurate forecasting needs to be performed in order to make …