[HTML][HTML] Urban hydroinformatics: Past, present and future
C Makropoulos, DA Savić - Water, 2019 - mdpi.com
Hydroinformatics, as an interdisciplinary domain that blurs boundaries between water
science, data science and computer science, is constantly evolving and reinventing itself. At …
science, data science and computer science, is constantly evolving and reinventing itself. At …
Models for generating household water demand pulses: Literature review and comparison
In the context of household water demand generation with high time resolution (down to 1 s),
two different categories of models have been proposed, aimed at representing …
two different categories of models have been proposed, aimed at representing …
Smart meters data for modeling and forecasting water demand at the user-level
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 …
infrastructure. This research explores the use of machine learning methods, including …
Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider
Advanced metering technologies coupled with informatics creates an opportunity to form
digital multi-utility service providers. These providers will be able to concurrently collect a …
digital multi-utility service providers. These providers will be able to concurrently collect a …
Re-engineering traditional urban water management practices with smart metering and informatics
Current practice for the design of an urban water system usually relies on various models
that are often founded on a number of assumptions on how bulk water consumption is …
that are often founded on a number of assumptions on how bulk water consumption is …
Privacy-preserving aggregate mobility data release: An information-theoretic deep reinforcement learning approach
It is crucial to protect users' location traces against inference attacks on aggregate mobility
data collected from multiple users in various real-world applications. Most of the existing …
data collected from multiple users in various real-world applications. Most of the existing …
Data mining to uncover heterogeneous water use behaviors from smart meter data
A Cominola, K Nguyen, M Giuliani… - Water Resources …, 2019 - Wiley Online Library
Abstract Knowledge on the determinants and patterns of water demand for different
consumers supports the design of customized demand management strategies. Smart …
consumers supports the design of customized demand management strategies. Smart …
Efficient leak localization in water distribution systems using multistage optimal valve operations and smart demand metering
This paper proposes a multistage method for burst leak localization through valve
operations (VOs) and smart demand metering in district meter areas (DMAs) of water …
operations (VOs) and smart demand metering in district meter areas (DMAs) of water …
[HTML][HTML] Poisson rectangular pulse (PRP) model establishment based on uncertainty analysis of urban residential water consumption patterns
J Zhang, D Savic, Q Xu, K Liu, Z Qiang - Environmental Science and …, 2024 - Elsevier
The commonly used Poisson rectangular pulse (PRP) model, employed for simulating high-
resolution residential water consumption patterns (RWCPs), relies on calibration via medium …
resolution residential water consumption patterns (RWCPs), relies on calibration via medium …
A geospatially-enabled web tool for urban water demand forecasting and assessment of alternative urban water management strategies
This study develops and demonstrates the Integrated Urban Water Model (IUWM) for
forecasting urban water demand with options to assess effects of water conservation and …
forecasting urban water demand with options to assess effects of water conservation and …