Optimal management policies for water reservoir operation are generally designed via
stochastic dynamic programming (SDP). Yet, the adoption of SDP in complex real-world …

This study contributes a decision analytic framework to overcome policy inertia and myopia
in complex river basin management contexts. The framework combines reservoir policy …

Although great progress has been made in the last 40 years, efficient operation of water
reservoir systems still remains a very active research area. The combination of multiple …

Although being one of the most popular and extensively studied approaches to design water
reservoir operations, Stochastic Dynamic Programming is plagued by a dual curse that …

Reservoir operating policies can be derived using stochastic dynamic programming (SDP)
with different hydrologic state variables. This paper considers several choices for such …

Many large‐scale water resources systems, especially in transboundary contexts, are
characterized by the presence of several and conflicting interests and managed by multiple …

Exponentially growing water demands and increasingly uncertain hydrologic regimes due to
changes in climate and land use are challenging the sustainability of agricultural water …

This paper compares two approaches for implementing reservoir operating policies derived
using stochastic dynamic programming (SDP) models. In particular, operating policies for …

This paper develops a parallel dynamic programming algorithm to optimize the joint
operation of a multi-reservoir system. First, a multi-dimensional dynamic programming (DP) …

Water reservoir systems may become more adaptive and reliable to external changes by
enlarging the information sets used in their operations. Models and forecasts of future hydro …