Urban water demand forecasting: review of methods and models
This paper reviews the literature on urban water demand forecasting published from 2000 to
2010 to identify methods and models useful for specific water utility decision making …
2010 to identify methods and models useful for specific water utility decision making …
Efficiency achievement in water supply systems—A review
B Coelho, A Andrade-Campos - Renewable and Sustainable Energy …, 2014 - Elsevier
The worldwide water supply represents a significant portion of the global energy
consumption. This energy consumption, related to the collection, treatment and …
consumption. This energy consumption, related to the collection, treatment and …
Short term water demand forecast modelling using artificial intelligence for smart water management
Water is an important resource for life and its existence. Water demand is increasing with
increasing economic growth and population, while the water availability is continually …
increasing economic growth and population, while the water availability is continually …
A method for predicting long-term municipal water demands under climate change
The accurate forecast of water demand is challenging for water utilities, specifically when
considering the implications of climate change. As such, this is the first study that focuses on …
considering the implications of climate change. As such, this is the first study that focuses on …
Short-term water demand forecast based on deep learning method
Short-time water demand forecasting is essential for optimal control in a water distribution
system (WDS). Current methods (eg, time-series models and conventional artificial neural …
system (WDS). Current methods (eg, time-series models and conventional artificial neural …
System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts
C Qi, NB Chang - Journal of environmental management, 2011 - Elsevier
Accurate prediction of municipal water demand is critically important to water utilities in fast-
growing urban regions for drinking water system planning, design, and water utility asset …
growing urban regions for drinking water system planning, design, and water utility asset …
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 …
stages, to first characterize and then forecast hourly water demand in the short term with …
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 …
Adaptive water demand forecasting for near real-time management of smart water distribution systems
M Romano, Z Kapelan - Environmental Modelling & Software, 2014 - Elsevier
This paper presents a novel methodology to perform adaptive Water Demand Forecasting
(WDF) for up to 24 h ahead with the aim to support near real-time operational management …
(WDF) for up to 24 h ahead with the aim to support near real-time operational management …
A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks
Valid and dependable water demand prediction is a major element of the effective and
sustainable expansion of municipal water infrastructures. This study provides a novel …
sustainable expansion of municipal water infrastructures. This study provides a novel …