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

The state of the art for optimal water reservoir operations is rapidly evolving, driven by
emerging societal challenges. Changing values for balancing environmental resources …

We present a forecast‐based adaptive management framework for water supply reservoirs
and evaluate the contribution of long‐term inflow forecasts to reservoir operations. Our …

Reservoir operation optimization aims to determine release and transfer decisions that
maximise water management objectives such as ensuring a reliable water supply …

Urban stormwater management has become an important aspect affecting the sustainable
development of cities. Real-time control (RTC) of storage facilities is generally considered a …

Nature-based solutions (NBS) as green infrastructures to urban drainage are an effective
mitigation strategy both in terms of quantity and quality of runoff. Real-time control (RTC) can …

Combining randomization methods with ensemble prediction is emerging as an effective
option to balance accuracy and computational efficiency in data-driven modelling. In this …

The optimal operation of reservoir systems to meet water demand is a complex and
nonlinear problem. This paper applies the biogeography-based optimization (BBO) …

This article investigates the improvement of the operation of a four-reservoir system in the
Seine River basin, France, by use of deterministic and ensemble weather forecasts and real …

Water supply systems are dynamic in nature, owing to the effect of climate change and
consumer demand uncertainties. The operation of such a system must be managed …