Battle of Water Demand Forecasting

dc.contributor.authorStefano Alvisi
dc.contributor.authorMarco Franchini
dc.contributor.authorValentina Marsili
dc.contributor.authorFilippo Mazzoni
dc.contributor.authorElad Salomons
dc.contributor.authorMashor Housh
dc.contributor.authorAhmed A. Abokifa
dc.contributor.authorKristina Arsova
dc.contributor.authorFaten Ayyash
dc.contributor.authorHyun-Joo Bae
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:42:16Z
dc.date.available2026-03-22T14:42:16Z
dc.date.issued2025
dc.descriptionCitaciones: 5
dc.description.abstractAs part of the Battle of Water Networks competition series, the Battle of Water Demand Forecasting (BWDF) was organized in the context of the 3rd Water Distribution Systems Analysis and Computing and Control in the Water Industry (WDSA-CCWI) joint conference held in Ferrara (Italy) in 2024. In line with the previous editions of the Battle of Water Networks—the main objective of which was to address a specific problem related to the design and operation of water distribution networks—the BWDF aims to compare the effectiveness of methods for the short-term forecast of urban water demand in a set of real district metered areas. During the conference, 31 teams across the world participated in the BWDF and presented their approaches. The results obtained demonstrate the importance of (1) considering integrated approaches for short-term water demand forecasting; and (2) evaluating their performance in relation to more than one metric, case study, and period.
dc.identifier.doi10.1061/jwrmd5.wreng-6887
dc.identifier.urihttps://doi.org/10.1061/jwrmd5.wreng-6887
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/48059
dc.language.isoen
dc.publisherAmerican Society of Civil Engineers
dc.relation.ispartofJournal of Water Resources Planning and Management
dc.sourceUniversity of Ferrara
dc.subjectBattle
dc.subjectDemand forecasting
dc.subjectEconomics
dc.subjectOperations research
dc.subjectNatural resource economics
dc.subjectEnvironmental science
dc.subjectWater resource management
dc.subjectEngineering
dc.subjectComputer science
dc.titleBattle of Water Demand Forecasting
dc.typearticle

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