[图书][B] Water demand forecasting using machine learning on weather and smart metering data

M Xenochristou - 2019 - search.proquest.com
Water scarcity is a global threat due to lifestyle and climate changes, pollution of water
resources, as well as a rapidly growing population. The UK water industry's regulators …

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

C Michalopoulos, P Dimas, P Kossieris… - Water Practice & …, 2024 - iwaponline.com
Water utilities currently face challenges in accurately measuring user-end consumption as
they have to visit every conventional meter that is installed in their service area. This study …

Short term water demand forecast modelling using artificial intelligence for smart water management

M Kavya, A Mathew, PR Shekar, P Sarwesh - Sustainable Cities and …, 2023 - Elsevier
Water is an important resource for life and its existence. Water demand is increasing with
increasing economic growth and population, while the water availability is continually …

Short-term forecasting of household water demand in the UK using an interpretable machine learning approach

M Xenochristou, C Hutton, J Hofman… - Journal of Water …, 2021 - ascelibrary.org
This study utilizes a rich UK data set of smart demand metering data, household
characteristics, and weather data to develop a demand forecasting methodology that …

Smart water demand forecasting: Learning from the data

M Xenochristou, Z Kapelan… - International …, 2018 - researchportal.bath.ac.uk
Accurate forecasts of demand are essential for water utilities in order to manage, plan, and
optimize the operation of their network. This work aims to develop a new method for short …

Layered machine learning for short-term water demand forecasting.

A Candelieri, D Soldi, F Archetti - … & Management Journal …, 2015 - search.ebscohost.com
Abstract Water Distribution Networks (WDN) are large-scale systems whose management is
a complex task, with increasing environmental and socio-economic implications worldwide …

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

G Liu, D Savic, G Fu - Journal of Hydroinformatics, 2023 - iwaponline.com
Accurate water demand forecasting is the key to urban water management and can alleviate
system pressure brought by urbanisation, water scarcity and climate change. However …

[HTML][HTML] Short-term water demand forecasting using hybrid supervised and unsupervised machine learning model

M Bata, R Carriveau, DSK Ting - Smart Water, 2020 - Springer
Regression Tree (RT) forecasting models are widely used in short-term demand forecasting.
Likewise, Self-Organizing Maps (SOM) models are known for their ability to cluster and …

Comparison of deep learning approaches for forecasting urban short-term water demand a Greater Sydney Region case study

S Ghannam, F Hussain - Knowledge-Based Systems, 2023 - Elsevier
Accurate water demand forecasting is essential for water utilities for effective water planning
and pump scheduling. To conduct effective water planning and pump scheduling, Sydney …

A water demand prediction model for central indiana

S Shah, M Hosseini, ZB Miled, R Shafer… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Due to the limited natural water resources and the increase in population, managing water
consumption is becoming an increasingly important subject worldwide. In this paper, we …