Battle of Water Demand Forecasting

S. Alvisi; M. Franchini; V. Marsili; F. Mazzoni; E. Salomons; M. Housh; A. Abokifa; K. Arsova; F. Ayyash; H. Bae; R. Barreira; L. Basto; S. Bayer; E. Z. Berglund; D. Biondi; F. Boloukasli Ahmadgourabi; B. Brentan; J. Caetano; F. Campos; H. Cao; S. Cardona; E. P. Carreño Alvarado; N. Carriço; G. A. Chatzistefanou; Y. Coy; E. Creaco; S. Cuomo; A. de Klerk; A. Di Nardo; M. Dicarlo; U. Dittmer; R. Dziedzic; A. Ebrahim Bakhshipour; D. Eliades; R. Farmani; B. Ferreira; A. Gabriele; M. M. Gamboa-Medina; F. Gao; J. Gao; R. Gargano; M. Geranmehr; C. Giudicianni; K. Glynis; S. Gómez; L. González; M. Groß; H. Guo; M. N. Habibi; A. Haghighi; B. Hammer; L. Hans; M. Hayslep; Y. He; L. Hermes; M. Herrera; F. Hinder; B. Hou; A. Iglesias-Rey; P. L. Iglesias-Rey; I. S. Jang; J. Izquierdo; M. S. Jahangir; C. Jara-Arriagada; B. Jenks; G. Johnen; M. Kalami Heris; M. Kalumba; M. S. Kang; M. Khashei Varnamkhasti; K. J. Kim; J. Kley-Holsteg; T. Ko; A. Koochali; P. Kossieris; P. Koundouri; C. Kühnert; A. Kulaczkowski; J. Lee; K. Li; Y. Li; H. Liu; Y. Liu; C. A. López-Hojas; A. Maier; C. Makropoulos; F. J. Martínez-Solano; N. H. Marzouny; A. Menapace; C. Michalopoulos; G. Moraitis; H. Mousa; H. Namdari; D. Nikolopoulos; M. Oberascher; A. Ostfeld; M. Pagano; F. Pasha; J. Perafán; G. Perelman; J. Pesantez; M. Polycarpou; M. G. Quarta; Q. Que; J. Quilty; C. Quintiliani; A. Ramachandran; G. Reynoso Meza; V. Rodriguez; Y. Romano; J. Saldarriaga; A. K. Salem; P. Samartzis; G. F. Santonastaso; D. Savic; V. Schiano Di Cola; D. Schol; A. G. Seyoum; R. Shen; K. Simukonda; A. Sinske; R. Sitzenfrei; B. Sonnenschein; I. Stoianov; A. Tabares; E. Todini; L. Tsiami; I. Tsoukalas; A. J. Ulusoy; L. Vamvakeridou-Lyroudia; A. van Heerden; J. Vaquet; V. Vaquet; S. Wallner; M. Walraad; D. Wang; S. Wu; W. Wu; A. Wunsch; Y. Yao; J. Yu; A. Zanfei; D. Zanutto; H. Zhang; M. Ziebarth; F. Ziel; J. Zou

doi:10.1061/JWRMD5.WRENG-6887

Battle of Water Demand Forecasting

S. Alvisi, M. Franchini, V. Marsili, F. Mazzoni, E. Salomons, M. Housh, A. Abokifa, K. Arsova, F. Ayyash, H. Bae, R. Barreira, L. Basto, S. Bayer, E. Z. Berglund, D. Biondi, F. Boloukasli Ahmadgourabi, B. Brentan, J. Caetano, F. Campos, H. CaoS. Cardona, E. P. Carreño Alvarado, N. Carriço, G. A. Chatzistefanou, Y. Coy, E. Creaco, S. Cuomo, A. de Klerk, A. Di Nardo, M. Dicarlo, U. Dittmer, R. Dziedzic, A. Ebrahim Bakhshipour, D. Eliades, R. Farmani, B. Ferreira, A. Gabriele, M. M. Gamboa-Medina, F. Gao, J. Gao, R. Gargano, M. Geranmehr, C. Giudicianni, K. Glynis, S. Gómez, L. González, M. Groß, H. Guo, M. N. Habibi, A. Haghighi, B. Hammer, L. Hans, M. Hayslep, Y. He, L. Hermes, M. Herrera, F. Hinder, B. Hou, A. Iglesias-Rey, P. L. Iglesias-Rey, I. S. Jang, J. Izquierdo, M. S. Jahangir, C. Jara-Arriagada, B. Jenks, G. Johnen, M. Kalami Heris, M. Kalumba, M. S. Kang, M. Khashei Varnamkhasti, K. J. Kim, J. Kley-Holsteg, T. Ko, A. Koochali, P. Kossieris, P. Koundouri, C. Kühnert, A. Kulaczkowski, J. Lee, K. Li, Y. Li, H. Liu, Y. Liu, C. A. López-Hojas, A. Maier, C. Makropoulos, F. J. Martínez-Solano, N. H. Marzouny, A. Menapace, C. Michalopoulos, G. Moraitis, H. Mousa, H. Namdari, D. Nikolopoulos, M. Oberascher, A. Ostfeld, M. Pagano, F. Pasha, J. Perafán, G. Perelman, J. Pesantez, M. Polycarpou, M. G. Quarta, Q. Que, J. Quilty, C. Quintiliani, A. Ramachandran, G. Reynoso Meza, V. Rodriguez, Y. Romano, J. Saldarriaga, A. K. Salem, P. Samartzis, G. F. Santonastaso, D. Savic, V. Schiano Di Cola, D. Schol, A. G. Seyoum, R. Shen, K. Simukonda, A. Sinske, R. Sitzenfrei, B. Sonnenschein, I. Stoianov, A. Tabares, E. Todini, L. Tsiami, I. Tsoukalas, A. J. Ulusoy, L. Vamvakeridou-Lyroudia, A. van Heerden, J. Vaquet, V. Vaquet, S. Wallner, M. Walraad, D. Wang, S. Wu, W. Wu, A. Wunsch, Y. Yao, J. Yu, A. Zanfei, D. Zanutto, H. Zhang, M. Ziebarth, F. Ziel, J. Zou

School of Environmental Sciences

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	04025049
Journal	Journal of Water Resources Planning and Management - ASCE
Volume	151
Issue number	10
DOIs	https://doi.org/10.1061/JWRMD5.WRENG-6887
State	Published - 2025

Bibliographical note

Publisher Copyright:
© 2025 This work is made available under the terms of the Creative Commons Attribution 4.0 International license,.

Keywords

Artificial intelligence
Field data
Forecasting
Time series analysis
Water demand
Water distribution network

ASJC Scopus subject areas

Geography, Planning and Development
Civil and Structural Engineering
Water Science and Technology
Management, Monitoring, Policy and Law

Access to Document

10.1061/JWRMD5.WRENG-6887

Cite this

Alvisi, S., Franchini, M., Marsili, V., Mazzoni, F., Salomons, E., Housh, M., Abokifa, A., Arsova, K., Ayyash, F., Bae, H., Barreira, R., Basto, L., Bayer, S., Berglund, E. Z., Biondi, D., Boloukasli Ahmadgourabi, F., Brentan, B., Caetano, J., Campos, F., ... Zou, J. (2025). Battle of Water Demand Forecasting. Journal of Water Resources Planning and Management - ASCE, 151(10), Article 04025049. https://doi.org/10.1061/JWRMD5.WRENG-6887

@article{c8e417edc2e145d5b6c9ab09aef823fe,

title = "Battle of Water Demand Forecasting",

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.",

keywords = "Artificial intelligence, Field data, Forecasting, Time series analysis, Water demand, Water distribution network",

author = "S. Alvisi and M. Franchini and V. Marsili and F. Mazzoni and E. Salomons and M. Housh and A. Abokifa and K. Arsova and F. Ayyash and H. Bae and R. Barreira and L. Basto and S. Bayer and Berglund, \{E. Z.\} and D. Biondi and \{Boloukasli Ahmadgourabi\}, F. and B. Brentan and J. Caetano and F. Campos and H. Cao and S. Cardona and \{Carre{\~n}o Alvarado\}, \{E. P.\} and N. Carri{\c c}o and Chatzistefanou, \{G. A.\} and Y. Coy and E. Creaco and S. Cuomo and \{de Klerk\}, A. and \{Di Nardo\}, A. and M. Dicarlo and U. Dittmer and R. Dziedzic and \{Ebrahim Bakhshipour\}, A. and D. Eliades and R. Farmani and B. Ferreira and A. Gabriele and Gamboa-Medina, \{M. M.\} and F. Gao and J. Gao and R. Gargano and M. Geranmehr and C. Giudicianni and K. Glynis and S. G{\'o}mez and L. Gonz{\'a}lez and M. Gro{\ss} and H. Guo and Habibi, \{M. N.\} and A. Haghighi and B. Hammer and L. Hans and M. Hayslep and Y. He and L. Hermes and M. Herrera and F. Hinder and B. Hou and A. Iglesias-Rey and Iglesias-Rey, \{P. L.\} and Jang, \{I. S.\} and J. Izquierdo and Jahangir, \{M. S.\} and C. Jara-Arriagada and B. Jenks and G. Johnen and \{Kalami Heris\}, M. and M. Kalumba and Kang, \{M. S.\} and \{Khashei Varnamkhasti\}, M. and Kim, \{K. J.\} and J. Kley-Holsteg and T. Ko and A. Koochali and P. Kossieris and P. Koundouri and C. K{\"u}hnert and A. Kulaczkowski and J. Lee and K. Li and Y. Li and H. Liu and Y. Liu and L{\'o}pez-Hojas, \{C. A.\} and A. Maier and C. Makropoulos and Mart{\'i}nez-Solano, \{F. J.\} and Marzouny, \{N. H.\} and A. Menapace and C. Michalopoulos and G. Moraitis and H. Mousa and H. Namdari and D. Nikolopoulos and M. Oberascher and A. Ostfeld and M. Pagano and F. Pasha and J. Peraf{\'a}n and G. Perelman and J. Pesantez and M. Polycarpou and Quarta, \{M. G.\} and Q. Que and J. Quilty and C. Quintiliani and A. Ramachandran and \{Reynoso Meza\}, G. and V. Rodriguez and Y. Romano and J. Saldarriaga and Salem, \{A. K.\} and P. Samartzis and Santonastaso, \{G. F.\} and D. Savic and \{Schiano Di Cola\}, V. and D. Schol and Seyoum, \{A. G.\} and R. Shen and K. Simukonda and A. Sinske and R. Sitzenfrei and B. Sonnenschein and I. Stoianov and A. Tabares and E. Todini and L. Tsiami and I. Tsoukalas and Ulusoy, \{A. J.\} and L. Vamvakeridou-Lyroudia and \{van Heerden\}, A. and J. Vaquet and V. Vaquet and S. Wallner and M. Walraad and D. Wang and S. Wu and W. Wu and A. Wunsch and Y. Yao and J. Yu and A. Zanfei and D. Zanutto and H. Zhang and M. Ziebarth and F. Ziel and J. Zou",

note = "Publisher Copyright: {\textcopyright} 2025 This work is made available under the terms of the Creative Commons Attribution 4.0 International license,.",

year = "2025",

doi = "10.1061/JWRMD5.WRENG-6887",

language = "English",

volume = "151",

journal = "Journal of Water Resources Planning and Management - ASCE",

issn = "0733-9496",

publisher = "American Society of Civil Engineers (ASCE)",

number = "10",

}

Alvisi, S, Franchini, M, Marsili, V, Mazzoni, F, Salomons, E, Housh, M, Abokifa, A, Arsova, K, Ayyash, F, Bae, H, Barreira, R, Basto, L, Bayer, S, Berglund, EZ, Biondi, D, Boloukasli Ahmadgourabi, F, Brentan, B, Caetano, J, Campos, F, Cao, H, Cardona, S, Carreño Alvarado, EP, Carriço, N, Chatzistefanou, GA, Coy, Y, Creaco, E, Cuomo, S, de Klerk, A, Di Nardo, A, Dicarlo, M, Dittmer, U, Dziedzic, R, Ebrahim Bakhshipour, A, Eliades, D, Farmani, R, Ferreira, B, Gabriele, A, Gamboa-Medina, MM, Gao, F, Gao, J, Gargano, R, Geranmehr, M, Giudicianni, C, Glynis, K, Gómez, S, González, L, Groß, M, Guo, H, Habibi, MN, Haghighi, A, Hammer, B, Hans, L, Hayslep, M, He, Y, Hermes, L, Herrera, M, Hinder, F, Hou, B, Iglesias-Rey, A, Iglesias-Rey, PL, Jang, IS, Izquierdo, J, Jahangir, MS, Jara-Arriagada, C, Jenks, B, Johnen, G, Kalami Heris, M, Kalumba, M, Kang, MS, Khashei Varnamkhasti, M, Kim, KJ, Kley-Holsteg, J, Ko, T, Koochali, A, Kossieris, P, Koundouri, P, Kühnert, C, Kulaczkowski, A, Lee, J, Li, K, Li, Y, Liu, H, Liu, Y, López-Hojas, CA, Maier, A, Makropoulos, C, Martínez-Solano, FJ, Marzouny, NH, Menapace, A, Michalopoulos, C, Moraitis, G, Mousa, H, Namdari, H, Nikolopoulos, D, Oberascher, M, Ostfeld, A, Pagano, M, Pasha, F, Perafán, J, Perelman, G, Pesantez, J, Polycarpou, M, Quarta, MG, Que, Q, Quilty, J, Quintiliani, C, Ramachandran, A, Reynoso Meza, G, Rodriguez, V, Romano, Y, Saldarriaga, J, Salem, AK, Samartzis, P, Santonastaso, GF, Savic, D, Schiano Di Cola, V, Schol, D, Seyoum, AG, Shen, R, Simukonda, K, Sinske, A, Sitzenfrei, R, Sonnenschein, B, Stoianov, I, Tabares, A, Todini, E, Tsiami, L, Tsoukalas, I, Ulusoy, AJ, Vamvakeridou-Lyroudia, L, van Heerden, A, Vaquet, J, Vaquet, V, Wallner, S, Walraad, M, Wang, D, Wu, S, Wu, W, Wunsch, A, Yao, Y, Yu, J, Zanfei, A, Zanutto, D, Zhang, H, Ziebarth, M, Ziel, F & Zou, J 2025, 'Battle of Water Demand Forecasting', Journal of Water Resources Planning and Management - ASCE, vol. 151, no. 10, 04025049. https://doi.org/10.1061/JWRMD5.WRENG-6887

TY - JOUR

T1 - Battle of Water Demand Forecasting

AU - Alvisi, S.

AU - Franchini, M.

AU - Marsili, V.

AU - Mazzoni, F.

AU - Salomons, E.

AU - Housh, M.

AU - Abokifa, A.

AU - Arsova, K.

AU - Ayyash, F.

AU - Bae, H.

AU - Barreira, R.

AU - Basto, L.

AU - Bayer, S.

AU - Berglund, E. Z.

AU - Biondi, D.

AU - Boloukasli Ahmadgourabi, F.

AU - Brentan, B.

AU - Caetano, J.

AU - Campos, F.

AU - Cao, H.

AU - Cardona, S.

AU - Carreño Alvarado, E. P.

AU - Carriço, N.

AU - Chatzistefanou, G. A.

AU - Coy, Y.

AU - Creaco, E.

AU - Cuomo, S.

AU - de Klerk, A.

AU - Di Nardo, A.

AU - Dicarlo, M.

AU - Dittmer, U.

AU - Dziedzic, R.

AU - Ebrahim Bakhshipour, A.

AU - Eliades, D.

AU - Farmani, R.

AU - Ferreira, B.

AU - Gabriele, A.

AU - Gamboa-Medina, M. M.

AU - Gao, F.

AU - Gao, J.

AU - Gargano, R.

AU - Geranmehr, M.

AU - Giudicianni, C.

AU - Glynis, K.

AU - Gómez, S.

AU - González, L.

AU - Groß, M.

AU - Guo, H.

AU - Habibi, M. N.

AU - Haghighi, A.

AU - Hammer, B.

AU - Hans, L.

AU - Hayslep, M.

AU - He, Y.

AU - Hermes, L.

AU - Herrera, M.

AU - Hinder, F.

AU - Hou, B.

AU - Iglesias-Rey, A.

AU - Iglesias-Rey, P. L.

AU - Jang, I. S.

AU - Izquierdo, J.

AU - Jahangir, M. S.

AU - Jara-Arriagada, C.

AU - Jenks, B.

AU - Johnen, G.

AU - Kalami Heris, M.

AU - Kalumba, M.

AU - Kang, M. S.

AU - Khashei Varnamkhasti, M.

AU - Kim, K. J.

AU - Kley-Holsteg, J.

AU - Ko, T.

AU - Koochali, A.

AU - Kossieris, P.

AU - Koundouri, P.

AU - Kühnert, C.

AU - Kulaczkowski, A.

AU - Lee, J.

AU - Li, K.

AU - Li, Y.

AU - Liu, H.

AU - Liu, Y.

AU - López-Hojas, C. A.

AU - Maier, A.

AU - Makropoulos, C.

AU - Martínez-Solano, F. J.

AU - Marzouny, N. H.

AU - Menapace, A.

AU - Michalopoulos, C.

AU - Moraitis, G.

AU - Mousa, H.

AU - Namdari, H.

AU - Nikolopoulos, D.

AU - Oberascher, M.

AU - Ostfeld, A.

AU - Pagano, M.

AU - Pasha, F.

AU - Perafán, J.

AU - Perelman, G.

AU - Pesantez, J.

AU - Polycarpou, M.

AU - Quarta, M. G.

AU - Que, Q.

AU - Quilty, J.

AU - Quintiliani, C.

AU - Ramachandran, A.

AU - Reynoso Meza, G.

AU - Rodriguez, V.

AU - Romano, Y.

AU - Saldarriaga, J.

AU - Salem, A. K.

AU - Samartzis, P.

AU - Santonastaso, G. F.

AU - Savic, D.

AU - Schiano Di Cola, V.

AU - Schol, D.

AU - Seyoum, A. G.

AU - Shen, R.

AU - Simukonda, K.

AU - Sinske, A.

AU - Sitzenfrei, R.

AU - Sonnenschein, B.

AU - Stoianov, I.

AU - Tabares, A.

AU - Todini, E.

AU - Tsiami, L.

AU - Tsoukalas, I.

AU - Ulusoy, A. J.

AU - Vamvakeridou-Lyroudia, L.

AU - van Heerden, A.

AU - Vaquet, J.

AU - Vaquet, V.

AU - Wallner, S.

AU - Walraad, M.

AU - Wang, D.

AU - Wu, S.

AU - Wu, W.

AU - Wunsch, A.

AU - Yao, Y.

AU - Yu, J.

AU - Zanfei, A.

AU - Zanutto, D.

AU - Zhang, H.

AU - Ziebarth, M.

AU - Ziel, F.

AU - Zou, J.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Field data

KW - Forecasting

KW - Time series analysis

KW - Water demand

KW - Water distribution network

UR - https://www.scopus.com/pages/publications/105011346014

U2 - 10.1061/JWRMD5.WRENG-6887

DO - 10.1061/JWRMD5.WRENG-6887

M3 - Article

AN - SCOPUS:105011346014

SN - 0733-9496

VL - 151

JO - Journal of Water Resources Planning and Management - ASCE

JF - Journal of Water Resources Planning and Management - ASCE

IS - 10

M1 - 04025049

ER -

Battle of Water Demand Forecasting

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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