Smart meters installed at the user-level provide a new data source for managing water
infrastructure. This research explores the use of machine learning methods, including …

This study utilizes a rich UK data set of smart demand metering data, household
characteristics, and weather data to develop a demand forecasting methodology that …

Uncontrolled wastewater discharges have social and environmental consequences and
generate increased operational costs. Wastewater treatment plants (WWTPs) are vulnerable …

The continuously increasing consumption and scarcity of natural freshwater resources
impose threats on different aspects of human life. This study investigated the possible …

In this paper a scenario-based robust optimization approach is proposed to take demand
uncertainty into account in the design of water distribution networks. This results in insight in …

Wastage of water is a burning topic in the world. Different countries worldwide are facing the
issue of the lack of fresh water, and the problem is increasing daily. This paper aims to …

The accurate prediction of daily drinking water demand for the next few days is the basis for
many operational decisions and applications. In Europe, recently, the “Artificial Intelligence …

Access to fresh water has become a headache for many nations around the world today due
to water scarcity. Since this aspect is increasing, this paper introduces a system to estimate …

Дисертација се бави креирањем напредног адаптивног модела краткорочне прогнозе
вредности временских серија у паметним инфраструктурним мрежама. Појаве које …

The purpose of the work was to identify the hidden relationship between water consumption
and meteorological factors, using principal component analysis. In addition, clusters of …