Contrasting the Water Consumption Estimation Methods: Case of USA and South Africa
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46491-1_20
Reference17 articles.
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2. United Nations Population Division (2019) World population prospects: the 2019 revision. [Online]. Available at: https://www.worldometers.info/world-population/. Accessed 3 July 2023
3. Hunter RB (1940) BMS65 methods of estimating loads on plumbing systems. US NBS, Washington, DC
4. Ghiassi DK, Zimbra, Saidane H (2008) Urban water demand forecasting with a dynamic artificial neural network model. J Water Resour Plan Manag 134(2):138–146. https://doi.org/10.1061/(ASCE)0733-9496(2008)134:2(138)
5. Odan FK, Reis LFR (2012) Hybrid water demand forecasting model associating artificial neural network with Fourier series. J Water Resour Plan Manag 138:245–256. https://doi.org/10.1061/(ASCE)WR.1943-5452.000017
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