Optimizing Short-Term Water Demand Forecasting: A Comparative Approach to the Battle of Water Demand Forecasting-Reference-Cited by-同舟云学术

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Optimizing Short-Term Water Demand Forecasting: A Comparative Approach to the Battle of Water Demand Forecasting

Published:2024-09-04 Issue: Volume:33 Page:48
ISSN:
Container-title:The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024)
language:
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Author:

Ferreira Bruno¹^ORCID,Barreira Raquel¹²^ORCID,Caetano João¹^ORCID,Quarta Maria Grazia³^ORCID,Carriço Nelson¹^ORCID

Affiliation:

1. RESILIENCE—Center for Regional Resilience and Sustainability, Escola Superior de Tecnologia do Barreiro, Instituto Politécnico de Setúbal, 2910-761 Setúbal, Portugal

2. Centro de Matemática, Aplicações Fundamentais e Investigação Operacional (CMAFcIO), Universidade de Lisboa, 1649-004 Lisboa, Portugal

3. Dipartimento di Matematica e Fisica, Università del Salento, 73100 Lecce, Italy

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/69/1/48/pdf

Reference7 articles.

1. A Comparison of Short-Term Water Demand Forecasting Models;Pacchin;Water Resour. Manag.,2019

2. Hourly and Daily Urban Water Demand Predictions Using a Long Short-Term Memory Based Model;Mu;J. Water Resour. Plan. Manag.,2020

3. Water Demand Forecasting: Review of Soft Computing Methods;Ghalehkhondabi;Env. Environ. Monit. Assess.,2017

4. Niknam, A., Zare, H.K., Hosseininasab, H., Mostafaeipour, A., and Herrera, M. (2022). A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?. Sustainability, 14.

5. ImputeTS: Time Series Missing Value Imputation in R;Moritz;R J.,2017

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