[HTML][HTML] Clustering and support vector regression for water demand forecasting and anomaly detection

A Candelieri - Water, 2017 - mdpi.com
This paper presents a completely data-driven and machine-learning-based approach, in two
stages, to first characterize and then forecast hourly water demand in the short term with …

An ensemble neural network model to forecast drinking water consumption

A Zanfei, A Menapace, F Granata… - Journal of Water …, 2022 - ascelibrary.org
A reliable short-term forecasting model is fundamental to managing a water distribution
system properly. This study addresses the problem of the efficient development of a deep …

Fine tuning a PAT hydropower plant in a water supply network to improve system effectiveness

O Fecarotta, HM Ramos, S Derakhshan… - Journal of Water …, 2018 - ascelibrary.org
The installation of hydropower plants equipped with pumps as turbines (PATs) in water
supply systems has been demonstrated to be suitable and advantageous in order to both …

[HTML][HTML] Burst detection in water distribution systems: The issue of dataset collection

A Menapace, A Zanfei, M Felicetti, D Avesani… - Applied Sciences, 2020 - mdpi.com
Developing data-driven models for bursts detection is currently a demanding challenge for
efficient and sustainable management of water supply systems. The main limit in the …

[HTML][HTML] Probabilistic models for the peak residential water demand

R Gargano, C Tricarico, F Granata, S Santopietro… - Water, 2017 - mdpi.com
Peak water demand is one of the most stringent operative conditions for a Water Distribution
System (WDS), not only for the intensity of the event itself, but also for its recurring nature …

[HTML][HTML] Exploring the statistical and distributional properties of residential water demand at fine time scales

P Kossieris, C Makropoulos - Water, 2018 - mdpi.com
Residential water demand consists one of the most uncertain factors posing extra difficulties
in the efficient planning and management of urban water systems. Currently, high resolution …

Performance of partitioned water distribution networks under spatial-temporal variability of water demand

A Di Nardo, M Di Natale, R Gargano… - … Modelling & Software, 2018 - Elsevier
Water network partitioning (WNP) into District Meter Areas allows improving pressure
management, water budget, leaks detection, compared to classical redundantly looped …

[HTML][HTML] Simulating marginal and dependence behaviour of water demand processes at any fine time scale

P Kossieris, I Tsoukalas, C Makropoulos, D Savic - Water, 2019 - mdpi.com
Uncertainty-aware design and management of urban water systems lies on the generation
of synthetic series that should precisely reproduce the distributional and dependence …

A mixed strategy based on self-organizing map for water demand pattern profiling of large-size smart water grid data

R Padulano, G Del Giudice - Water Resources Management, 2018 - Springer
In the present paper a procedure is introduced to detect water consumption patterns within
water distribution systems. The analysis is based on hourly consumption data referred to …

Optimal energy recovery by means of pumps as turbines (PATs) for improved WDS management

C Tricarico, MS Morley, R Gargano… - Water Science and …, 2018 - iwaponline.com
In water networks characterized by a significant variation in ground elevations the necessity
of pumping water in some areas is complicated by a conflicting requirement to reduce …