Abstract Model Predictive Control (MPC) has recently gained increasing interest in the
adaptive management of water resources systems due to its capability of incorporating …

Operational water management is a critical global challenge, and decision making can be
improved by using mathematical optimization. This paper provides an overview of …

A generic and scalable scheme is proposed for forecasting reservoir inflow to optimize
reservoir operations for hydropower maximization. Short-term weather forecasts and …

In water resources applications (eg, streamflow, rainfall‐runoff, urban water demand [UWD],
etc.), ensemble member selection and ensemble member weighting are two difficult yet …

Streamflow series forecasting composes a fundamental step in planning electric energy
production for hydroelectric plants. In Brazil, such plants produce almost 70% of the total …

This study presents the potential of hydrological ensemble forecasts over South Korea for
medium-range forecast lead times (1–7 days). To generate hydrological forecasts, this study …

In recent years, extreme learning machines (ELM) have been used to accurately predict a
variety of hydrological variables (eg, streamflow, precipitation, river water quality). Using the …

Estimating future streamflows is a key step in producing electricity for countries with
hydroelectric plants. Accurate predictions are particularly important due to environmental …

Large-scale hydrologic–hydrodynamic models are powerful tools for integrated water
resources evaluation at the basin scale, especially in the context of flood hazard …

Recent scientific and computational developments have pushed hydrological forecasting
systems up to continental and global scales. In this study, we evaluate the potential skill of …