A critical review of short-term water demand forecasting tools—what method should i use?

A Niknam, HK Zare, H Hosseininasab, A Mostafaeipour… - Sustainability, 2022 - mdpi.com
The challenge for city authorities goes beyond managing growing cities, since as cities
develop, their exposure to climate change effects also increases. In this scenario, urban …

Predicting water demand: A review of the methods employed and future possibilities

G de Souza Groppo, MA Costa, M Libânio - Water Supply, 2019 - iwaponline.com
The balance between water supply and demand requires efficient water supply system
management techniques. This balance is achieved through operational actions, many of …

Short term water demand forecast modelling using artificial intelligence for smart water management

M Kavya, A Mathew, PR Shekar, P Sarwesh - Sustainable Cities and …, 2023 - Elsevier
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 …

Multi-step ahead urban water demand forecasting using deep learning models

BB Sahoo, B Panigrahi, T Nanda, MK Tiwari… - SN Computer …, 2023 - Springer
Accurate prediction of water demand in a city is crucial for the management of urban water
distribution system. The current study aims to create adequate daily water demand …

Incorporating future climatic and socioeconomic variables in water demand forecasting: a case study in Bangkok

MS Babel, N Maporn, VR Shinde - Water resources management, 2014 - Springer
With concerns relating to climate change, and its impacts on water supply, there is an
increasing emphasis on water utilities to prepare for the anticipated changes so as to ensure …

Urban water demand forecasting: review of methods and models

EA Donkor, TA Mazzuchi, R Soyer… - Journal of Water …, 2014 - ascelibrary.org
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 …

Long-term water demand forecasting

JD Rinaudo - Understanding and managing urban water in transition, 2015 - Springer
This chapter reviews existing long term water demand forecasting methodologies. Based on
an extensive literature review, it shows that the domain has benefited from contributions by …

Water demand forecasting: review of soft computing methods

I Ghalehkhondabi, E Ardjmand, WA Young… - Environmental …, 2017 - Springer
Demand forecasting plays a vital role in resource management for governments and private
companies. Considering the scarcity of water and its inherent constraints, demand …

Hourly and daily urban water demand predictions using a long short-term memory based model

L Mu, F Zheng, R Tao, Q Zhang… - Journal of Water …, 2020 - ascelibrary.org
This case study uses a long short-term memory (LSTM)–based model to predict short-term
urban water demands for the Hefei City of China. The performance of the LSTM-based …

Short-term water demand forecast based on deep learning method

G Guo, S Liu, Y Wu, J Li, R Zhou… - Journal of Water …, 2018 - ascelibrary.org
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 …