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

Bibliographic Data

ID21233217
AuthorsM Kavya (National Institute of Technology Tiruchirappalli), Aneesh Mathew (0000-0001-6185-2360, National Institute of Technology Tiruchirappalli, corresponding author), Padala Raja Shekar (0000-0001-5697-7329, National Institute of Technology Tiruchirappalli), Sarwesh P, P Sarwesh (Vellore Institute of Technology University)
Year2023
Volume95
Pages104610
Publication date2023-08-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2023.104610
OpenAlexW4366778955
LanguageEN
Citations received7
References cited38

Demand forecasting · Machine learning · Multivariate statistics · Operations research · Population · Univariate · Water resources · Water supply · Computer Science · Energy Load and Power Forecasting · Engineering · Environmental Science · Hydrological Forecasting Using AI · Water resources management and optimization · Environmental Engineering

  • Smart feasibility optimization of hybrid renewable water supply systems by digital twin technologies

    Open Access•Miguel Tavares, Modesto Pérez‐Sánchez et al.•Sustainable Cities and Society•2024

  • Forecasting municipal water demands

    Open Access•Hanyu Liu, Rui Xing et al.•Sustainable Cities and Society•2025

  • Reliable multi-horizon water demand forecasting model

    Open Access•Ke Wang, Xiang Xie et al.•Sustainable Cities and Society•2024

  • Predicting residential water and electricity usage profiles with a temporal histogram model

    Open Access•Michael J Ritchie, J A A Engelbrecht et al.•Sustainable Cities and Society•2023

  • Non-stationarity and spatial spillover effects in artificial intelligence development

    Open Access•Jiansheng You, Jin Hu et al.•Sustainable Cities and Society•2025

  • Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering

    Open Access•Lauren McMillan, Jawad Fayaz et al.•Sustainable Cities and Society•2023

  • Artificial intelligence and sustainable development during urbanization

    Open Access•Qiang Wang, Fuyu Zhang et al.•Sustainable Development•2024

  • Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management

    Open Access•Wenjing Niu, Wen-jing Niu et al.•Sustainable Cities and Society•2021

  • Cross layer design with weighted sum approach for extending device sustainability in smart cities

    Open Access•Sarwesh P, P Sarwesh et al.•Sustainable Cities and Society•2022

  • Extended linear and non-linear auto-regressive models for forecasting the urban water consumption of a fast-growing city in an arid region

    Open Access•Mohammad Ebrahim Banihabib, Pezhman Mousavi-Mirkalaei•Sustainable Cities and Society•2019

  • Forecast of urban water consumption under the impact of climate change

    Open Access•Niousha Rasifaghihi, S S Li et al.•Sustainable Cities and Society•2020

  • Urbanisation and Water Consumption

    Open Access•Elena Domene, David Sauri et al.•Urban Studies•2006

  • Block Rate Pricing of Water in Indonesia

    Piet Rietveld, Jan Rouwendal et al.•Bulletin of Indonesian Economic…•2000

Citations per year2.33
Citation span2023 - 2025 (3)
Highly citedNo

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