Battle of Water Demand Forecasting

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.; Cao H.; Cardona S.; Carreño Alvarado E. P.; Carriço N.; Chatzistefanou G.-a.; 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 M. M.; Gao F.; Gao J.; Gargano R.; Geranmehr M.; Giudicianni C.; Glynis K.; Gómez S.; González L.; Groß M.; Guo H.; Habibi M. N.; Haghighi A.; Hammer B.; Hans L.; Hayslep M.; He Y.; Hermes L.; Herrera M.; Hinder F.; Hou B.; Iglesias-Rey A.; Iglesias-Rey P. L.; Jang I.-s.; Izquierdo J.; Jahangir M. S.; Jara-Arriagada C.; Jenks B.; Johnen G.; Kalami Heris M.; Kalumba M.; Kang M.-s.; Khashei Varnamkhasti M.; Kim K.-j.; 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 C. A.; Maier A.; Makropoulos C.; Martínez-Solano F. J.; Marzouny N. H.; 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 M. G.; Que Q.; Quilty J.; Quintiliani C.; Ramachandran A.; Reynoso Meza G.; Rodriguez V.; Romano Y.; Saldarriaga J.; Salem A. K.; Samartzis P.; Santonastaso G. F.; Savic D.; Schiano Di Cola V.; Schol D.; Seyoum A. G.; Shen R.; Simukonda K.; Sinske A.; Sitzenfrei R.; Sonnenschein B.; Stoianov I.; Tabares A.; Todini E.; Tsiami L.; Tsoukalas I.; Ulusoy A.-j.; 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.

doi:10.1061/JWRMD5.WRENG-6887

Battle of Water Demand Forecasting

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., Cao H.Cardona S., Carreño Alvarado E. P., Carriço N., Chatzistefanou G.-a., 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 M. M., Gao F., Gao J., Gargano R., Geranmehr M., Giudicianni C., Glynis K., Gómez S., González L., Groß M., Guo H., Habibi M. N., Haghighi A., Hammer B., Hans L., Hayslep M., He Y., Hermes L., Herrera M., Hinder F., Hou B., Iglesias-Rey A., Iglesias-Rey P. L., Jang I.-s., Izquierdo J., Jahangir M. S., Jara-Arriagada C., Jenks B., Johnen G., Kalami Heris M., Kalumba M., Kang M.-s., Khashei Varnamkhasti M., Kim K.-j., 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 C. A., Maier A., Makropoulos C., Martínez-Solano F. J., Marzouny N. H., 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 M. G., Que Q., Quilty J., Quintiliani C., Ramachandran A., Reynoso Meza G., Rodriguez V., Romano Y., Saldarriaga J., Salem A. K., Samartzis P., Santonastaso G. F., Savic D., Schiano Di Cola V., Schol D., Seyoum A. G., Shen R., Simukonda K., Sinske A., Sitzenfrei R., Sonnenschein B., Stoianov I., Tabares A., Todini E., Tsiami L., Tsoukalas I., Ulusoy A.-j., 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.

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
Journal	Journal of Water Resources Planning and Management
Volume	151
Issue number	10
DOIs	https://doi.org/10.1061/JWRMD5.WRENG-6887
Publication status	Published (VoR) - 18 Jul 2025

Keywords

water resource planning
water demand forcasting
time series data
water distribution network

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10.1061/JWRMD5.WRENG-6887Licence: CC BY

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@article{74aa397dae7e480b831ee1b96ca6d433,

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 = "water resource planning, water demand forcasting, time series data, water distribution network",

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

year = "2025",

month = jul,

day = "18",

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

language = "English",

volume = "151",

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

publisher = "American Society of Civil Engineers",

number = "10",

}

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TY - JOUR

T1 - Battle of Water Demand Forecasting

AU - S., Alvisi

AU - M., Franchini

AU - V., Marsili

AU - F., Mazzoni

AU - E., Salomons

AU - M., Housh

AU - A., Abokifa

AU - K., Arsova

AU - F., Ayyash

AU - H., Bae

AU - R., Barreira

AU - L., Basto

AU - S., Bayer

AU - Z., Berglund E.

AU - D., Biondi

AU - F., Boloukasli Ahmadgourabi

AU - B., Brentan

AU - J., Caetano

AU - F., Campos

AU - H., Cao

AU - S., Cardona

AU - P., Carreño Alvarado E.

AU - N., Carriço

AU - G.-a., Chatzistefanou

AU - Y., Coy

AU - E., Creaco

AU - S., Cuomo

AU - A., de Klerk

AU - A., Di Nardo

AU - M., DiCarlo

AU - U., Dittmer

AU - R., Dziedzic

AU - A., Ebrahim Bakhshipour

AU - D., Eliades

AU - R., Farmani

AU - B., Ferreira

AU - A., Gabriele

AU - M., Gamboa-Medina M.

AU - F., Gao

AU - J., Gao

AU - R., Gargano

AU - M., Geranmehr

AU - C., Giudicianni

AU - K., Glynis

AU - S., Gómez

AU - L., González

AU - M., Groß

AU - H., Guo

AU - N., Habibi M.

AU - A., Haghighi

AU - B., Hammer

AU - L., Hans

AU - M., Hayslep

AU - Y., He

AU - L., Hermes

AU - M., Herrera

AU - F., Hinder

AU - B., Hou

AU - A., Iglesias-Rey

AU - L., Iglesias-Rey P.

AU - I.-s., Jang

AU - J., Izquierdo

AU - S., Jahangir M.

AU - C., Jara-Arriagada

AU - B., Jenks

AU - G., Johnen

AU - M., Kalami Heris

AU - M., Kalumba

AU - M.-s., Kang

AU - M., Khashei Varnamkhasti

AU - K.-j., Kim

AU - J., Kley-Holsteg

AU - T., Ko

AU - A., Koochali

AU - P., Kossieris

AU - P., Koundouri

AU - C., Kühnert

AU - A., Kulaczkowski

AU - J., Lee

AU - K., Li

AU - Y., Li

AU - H., Liu

AU - Y., Liu

AU - A., López-Hojas C.

AU - A., Maier

AU - C., Makropoulos

AU - J., Martínez-Solano F.

AU - H., Marzouny N.

AU - A., Menapace

AU - C., Michalopoulos

AU - G., Moraitis

AU - H., Mousa

AU - H., Namdari

AU - D., Nikolopoulos

AU - M., Oberascher

AU - A., Ostfeld

AU - M., Pagano

AU - F., Pasha

AU - J., Perafán

AU - G., Perelman

AU - J., Pesantez

AU - M., Polycarpou

AU - G., Quarta M.

AU - Q., Que

AU - J., Quilty

AU - C., Quintiliani

AU - A., Ramachandran

AU - G., Reynoso Meza

AU - V., Rodriguez

AU - Y., Romano

AU - J., Saldarriaga

AU - K., Salem A.

AU - P., Samartzis

AU - F., Santonastaso G.

AU - D., Savic

AU - V., Schiano Di Cola

AU - D., Schol

AU - G., Seyoum A.

AU - R., Shen

AU - K., Simukonda

AU - A., Sinske

AU - R., Sitzenfrei

AU - B., Sonnenschein

AU - I., Stoianov

AU - A., Tabares

AU - E., Todini

AU - L., Tsiami

AU - I., Tsoukalas

AU - A.-j., Ulusoy

AU - L., Vamvakeridou-Lyroudia

AU - A., van Heerden

AU - J., Vaquet

AU - V., Vaquet

AU - S., Wallner

AU - M., Walraad

AU - D., Wang

AU - S., Wu

AU - W., Wu

AU - A., Wunsch

AU - Y., Yao

AU - J., Yu

AU - A., Zanfei

AU - D., Zanutto

AU - H., Zhang

AU - M., Ziebarth

AU - F., Ziel

AU - J., Zou

PY - 2025/7/18

Y1 - 2025/7/18

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 - water resource planning

KW - water demand forcasting

KW - time series data

KW - water distribution network

U2 - 10.1061/JWRMD5.WRENG-6887

DO - 10.1061/JWRMD5.WRENG-6887

M3 - Article

VL - 151

JO - Journal of Water Resources Planning and Management

JF - Journal of Water Resources Planning and Management

IS - 10

ER -

Battle of Water Demand Forecasting

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