Short-term water demand forecasting using data-centric machine learning approaches

Skip Nav Destination

Journal of Hydroinformatics (2023) 25 (3): 895–911.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Interpretability and performance assessment of advanced machine learning models for α-factor prediction in wastewater treatment plants

Srinivas Tenneti
Pabbathi Debora Divya
E.S.S. Tejaswini
Ramunaidu Randhi
Seshagiri Rao Ambati

Journal of Water Process Engineering (2025) 72: 107637.

A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics

Babak Zolghadr-Asli
Ahmad Ferdowsi
Dragan Savić

Cambridge Prisms: Water (2024) 2

Short-Term Water Demand Forecasting from Univariate Time Series of Water Reservoir Stations

Georgios Myllis
Alkiviadis Tsimpiris
Vasiliki Vrana

Information (2024) 15 (10): 605.

Enhancing Water Management: A Comparative Analysis of Time Series Prediction Models for Distributed Water Flow in Supply Networks

Carlos Pires
Mónica V. Martins

Water (2024) 16 (13): 1827.

Making Waves: Towards data-centric water engineering

Guangtao Fu
Dragan Savic
David Butler

Water Research (2024) 256: 121585.

Selecting a Time-Series Model to Predict Drinking Water Extraction in a Semi-Arid Region in Chihuahua, Mexico

Martín Alfredo Legarreta-González
César A. Meza-Herrera
Rafael Rodríguez-Martínez
Darithsa Loya-González
Carlos Servando Chávez-Tiznado
Viridiana Contreras-Villarreal
Francisco Gerardo Véliz-Deras

Sustainability (2024) 16 (22): 9722.

Machine learning screening tools for the prediction of extraction yields of pharmaceutical compounds from wastewaters

Ana Casas
Diego Rodríguez-Llorente
Guillermo Rodríguez-Llorente
Juan García
Marcos Larriba

Journal of Water Process Engineering (2024) 62: 105379.

A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting

Christos Michalopoulos
Panagiotis Dimas
Panagiotis Kossieris
Nikos Pelekanos
Christos Makropoulos

Water Practice & Technology (2024) 19 (7): 2693.

Forecasting regional water demand using multi-fidelity data and harris hawks optimization of generalized regression neural network models – A case study of Heilongjiang Province, China

Qiuxiang Jiang
Weipeng Guo
Zilong Wang
Yunxing Wu
Youzhu Zhao
Meiyun Tao
Yuxiang Sun

Journal of Hydrology (2024) 634: 131084.

Effect of composite membrane flux behavior on oily wastewater treatment: Predicting and optimizing based response surface methodology and AI

Haitham Osman
Esraa Ahmed Said
Mohammed Al-Bahrani
Sasan Zahmatkesh

Journal of Water Process Engineering (2024) 60: 105072.

Classification machine learning to detect de facto reuse and cyanobacteria at a drinking water intake

Emily Clements
Kyle A. Thompson
Deena Hannoun
Eric R.V. Dickenson

Science of The Total Environment (2024) 948: 174690.

Reliable multi-horizon water demand forecasting model: A temporal deep learning approach

Ke Wang
Xiang Xie
Banteng Liu
Jie Yu
Zhangquan Wang

Sustainable Cities and Society (2024) 112: 105595.

Water demand forecasting in multiple district metered areas based on a multi-scale correction module neural network architecture

Qidong Que
Jinliang Gao
Yizhou Qian

Water Research X (2024) 25: 100269.

Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective

Guangtao Fu
Siao Sun
Lan Hoang
Zhiguo Yuan
David Butler

Cambridge Prisms: Water (2023) 1

A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management

Maria Drogkoula
Konstantinos Kokkinos
Nicholas Samaras

Applied Sciences (2023) 13 (22): 12147.

Prediction of multi-sectoral longitudinal water withdrawals using hierarchical machine learning models

Julie Shortridge

Journal of Hydroinformatics (2023) 25 (6): 2389.

Short-term water demand forecasting using data-centric machine learning approaches

This Feature Is Available To Subscribers Only