Improving short-term water demand forecasting using evolutionary algorithms

J Stańczyk, J Kajewska-Szkudlarek, P Lipiński… - Scientific Reports, 2022 - nature.com
Modern solutions in water distribution systems are based on monitoring the quality and
quantity of drinking water. Identifying the volume of water consumption is the main element …

Making urban water smart: the SMART-WATER solution

G Antzoulatos, C Mourtzios, P Stournara… - Water Science and …, 2020 - iwaponline.com
The rise of Internet of Things (IoT), coupled with the advances in Artificial Intelligence
technologies and cloud-based applications, have caused fundamental changes in the way …

Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach

C Wang, Z Li, X Ni, W Shi, J Zhang, J Bian, Y Liu - Water research, 2023 - Elsevier
Predicting water and energy consumption at high resolution over a short-term horizon is
critical for water and energy resource management. Water and energy are shown to be …

Water demand forecasting accuracy and influencing factors at different spatial scales using a gradient boosting machine

M Xenochristou, C Hutton, J Hofman… - Water Resources …, 2020 - Wiley Online Library
Understanding, comparing, and accurately predicting water demand at different spatial
scales is an important goal that will allow effective targeting of the appropriate operational …

Identification of influential user locations for smart meter installation to reconstruct the urban demand pattern

D Fiorillo, G Galuppini, E Creaco… - Journal of Water …, 2020 - ascelibrary.org
This paper aims to show how the total demand signal (ie, the sum of all user demands) of a
district metered area (DMA) can be reconstructed using simple linear models starting from …

Short-term bathwater demand forecasting for shared shower rooms in smart campuses using machine learning methods

G Zhang, Y Hu, D Yang, L Ma, M Zhang, X Liu - Water, 2022 - mdpi.com
Water scarcity is a growing threat to humankind. At university campuses, there is a need for
shared shower room managers to forecast the demand for bath water accurately. Accurate …

An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls

P Ataei, A Takhtravan, M Gheibi, B Chahkandi… - Heliyon, 2024 - cell.com
This study presents an intelligent Decision Support System (DSS) aimed at bridging the
theoretical-practical gap in groundwater management. The ongoing demand for …

Short-term water demand prediction using machine learning techniques—a case study of telford borough in pennsylvania

OM Iwakin, F Moazeni - World Environmental and Water Resources …, 2023 - ascelibrary.org
Increasing global populations, changing water consumption patterns, and climate change
are continuously putting a strain on available water resources. Identifying these changes in …

[HTML][HTML] Harnessing the Power of Random Forest for Precise Short-Term Water Demand Forecasting in Italian Water Districts

A Kulaczkowski, J Lee - Engineering Proceedings, 2024 - mdpi.com
Water demand forecasting is essential for ensuring a reliable water supply in any water
utility. It involves making accurate predictions for both short-and long-term water needs …

Water demand forecasting time series data

J Sanneh, A Di Mauro, S Venticinque… - … analytics in the …, 2022 - iwaponline.com
Water demand forecasting is crucial in many aspects of Water Distribution Systems (WDS)
because it helps minimize cost, optimize operations, and provide strategies for water …