Reservoir operation is one of the challenging problems for water resources planners and
managers. In developing countries the end users are represented by the water sectors in …

Large-scale reservoirs play an essential role in water resources management for agriculture
irrigation, water supply and flood controls. However, we need robust reservoir operation …

Artificial neural networks (ANNs) are new computing architectures in the area of artificial
intelligence. The present study aims at the application of ANNs for reservoir inflow prediction …

Focusing on conflict resolution, Water Resources Systems Analysis discusses systematic
approaches to the mathematical modeling of various water resources issues, which helps …

Various hydrological forecast products have been applied to real-time reservoir operation,
including deterministic streamflow forecast (DSF), DSF-based probabilistic streamflow …

Operation of reservoir systems using stochastic dynamic programming (SDP) and Bayesian
decision theory (BDT) is investigated in this study. The proposed model, called Bayesian …

The use of a streamflow forecast for real‐time reservoir operation is constrained by forecast
uncertainty (FU) and limited forecast horizon (FH). The effects of the two factors are …

This paper addresses how much flood water can be conserved for use after the flood season
through the operation of reservoir by taking into account the residual flood control capacity …

Understanding the links between remote conditions, such as tropical sea surface
temperatures, and regional climate has the potential to improve streamflow predictions, with …

This paper presents a new Two Stage Bayesian Stochastic Dynamic Programming (TS‐
BSDP) model for real time operation of cascaded hydropower systems to handle varying …