Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …

Due to the sharp increase in global industrial production, as well as the over-exploitation of
land and sea resources, the quality of drinking water has deteriorated considerably …

A rapidly changing digital landscape is shifting government-owned infrastructure utility
organizations toward digital transformation. This literature review aims to consider how the …

This article studies the pump scheduling optimization problem in water distribution networks
(WDNs) through a novel algorithm that combines knowledge learning and deep …

Pressure and flow estimation in water distribution networks (WDNs) allows water
management companies to optimize their control operations. For many years, mathematical …

Resiliency has been studied in the power and water systems separately. Often the resiliency
study is not so comprehensive as to understand interdependent, integrated water and power …

Effective ways to optimise real-time pump scheduling to maximise energy efficiency are
being sought to meet the challenges in the energy market. However, the considerable …

Knowing the pressure at all times in each node of a water distribution system (WDS)
facilitates safe and efficient operation. Yet, complete measurement data cannot be collected …

The efficient and sustainable supply and transport of water is a key component to any
functioning civilisation making the role of urban water systems (UWS) inherently crucial to …