Review of current technologies and proposed intelligent methodologies for water distributed network leakage detection

TK Chan, CS Chin, X Zhong - Ieee Access, 2018 - ieeexplore.ieee.org
Water is a precious resource that should be managed carefully. However, due to leakages in
water distributed networks (WDNs), a large amount of water is lost each year that suggests …

Machine learning and data analytic techniques in digital water metering: A review

MS Rahim, KA Nguyen, RA Stewart, D Giurco… - Water, 2020 - mdpi.com
Digital or intelligent water meters are being rolled out globally as a crucial component in
improving urban water management. This is because of their ability to frequently send water …

Smart meters data for modeling and forecasting water demand at the user-level

JE Pesantez, EZ Berglund, N Kaza - Environmental Modelling & Software, 2020 - Elsevier
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 …

[HTML][HTML] Shale gas production evaluation framework based on data-driven models

YW He, ZY He, Y Tang, YJ Xu, JC Long… - Petroleum Science, 2023 - Elsevier
Increasing the production and utilization of shale gas is of great significance for building a
clean and low-carbon energy system. Sharp decline of gas production has been widely …

Household smart water metering in Spain: Insights from the experience of remote meter reading in alicante

H March, ÁF Morote, AM Rico, D Saurí - Sustainability, 2017 - mdpi.com
Since the past few years, the smart city paradigm has been influencing sustainable urban
water resources management. Smart metering schemes for end users have become an …

Fast detection and localization of multiple leaks in water distribution network jointly driven by simulation and machine learning

Z Li, J Wang, H Yan, S Li, T Tao, K **n - Journal of Water Resources …, 2022 - ascelibrary.org
The leakage control in water distribution networks (WDNs) is of high concern in the water
supply industry. One direct and effective way to reduce leakage is to adopt leakage …

Big data to the rescue? Challenges in analysing granular household electricity consumption in the United Kingdom

A Ushakova, SJ Mikhaylov - Energy research & social science, 2020 - Elsevier
Rapid growth in smart meter installations has given rise to vast collections of data at a high
time-resolution and down to an individual level. However, to enable efficient policy …

Low complexity LDPC code decoders for next generation standards

T Brack, M Alles, T Lehnigk-Emden… - … , Automation & Test …, 2007 - ieeexplore.ieee.org
This paper presents the design of low complexity LDPC codes decoders for the upcoming
WiFi (IEEE 802.11 n), WiMax (IEEE802. 16e) and DVB-S2 standards. A complete …

Using advanced metering infrastructure data to evaluate consumer compliance with water advisories during a water service interruption

MF DiCarlo, EZ Berglund - Water Research, 2022 - Elsevier
Water main breaks disrupt services provided by utilities and result in Water Service
Interruptions (WSIs). Water utilities can manage WSIs through water advisories, which …

[HTML][HTML] An innovative hourly water demand forecasting preprocessing framework with local outlier correction and adaptive decomposition techniques

S Hu, J Gao, D Zhong, L Deng, C Ou, P **n - Water, 2021 - mdpi.com
Accurate forecasting of hourly water demand is essential for effective and sustainable
operation, and the cost-effective management of water distribution networks. Unlike monthly …