As 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.

Battle of Water Demand Forecasting

Creaco E.;Giudicianni C.;
2025-01-01

Abstract

As 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.
2025
Esperti anonimi
Inglese
151
10
Artificial intelligence; Field data; Forecasting; Time series analysis; Water demand; Water distribution network
147
info:eu-repo/semantics/article
262
Alvisi, S.; Franchini, M.; Marsili, V.; Mazzoni, F.; Salomons, E.; Housh, M.; Abokifa, A.; Arsova, K.; Ayyash, F.; Bae, H.; Barreira, R.; Basto, L.; B...espandi
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1549392
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