Data analytics in the supply chain management: Review of machine learning applications in demand forecasting

A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …

Water demand forecasting: review of soft computing methods

I Ghalehkhondabi, E Ardjmand, WA Young… - Environmental …, 2017 - Springer
Demand forecasting plays a vital role in resource management for governments and private
companies. Considering the scarcity of water and its inherent constraints, demand …

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 water demand forecast based on deep learning method

G Guo, S Liu, Y Wu, J Li, R Zhou… - Journal of Water …, 2018 - ascelibrary.org
Short-time water demand forecasting is essential for optimal control in a water distribution
system (WDS). Current methods (eg, time-series models and conventional artificial neural …

Short-term water demand forecast based on automatic feature extraction by one-dimensional convolution

L Chen, H Yan, J Yan, J Wang, T Tao, K **n, S Li… - Journal of …, 2022 - Elsevier
Short-term water demand forecast is one of the most important technology for urban water
supply management. The accuracy and timeliness of the forecast have an important impact …

Prediction and analysis of water resources demand in Taiyuan City based on principal component analysis and BP neural network

J Wu, Z Wang, L Dong - AQUA—Water Infrastructure, Ecosystems …, 2021 - iwaponline.com
Water is a fundamental natural and strategic economic resource that plays a vital role in
promoting economic and social development. With the accelerated urbanization and …

Applying human mobility and water consumption data for short-term water demand forecasting using classical and machine learning models

K Smolak, B Kasieczka, W Fialkiewicz… - Urban Water …, 2020 - Taylor & Francis
Water demand forecasting is a crucial task in the efficient management of the water supply
system. This paper compares classical and adapted machine learning algorithms used for …

Using extreme learning machines for short-term urban water demand forecasting

S Mouatadid, J Adamowski - Urban water journal, 2017 - Taylor & Francis
This study explores the ability of various machine learning methods to improve the accuracy
of urban water demand forecasting for the city of Montreal (Canada). Artificial Neural …

Multi-step ahead urban water demand forecasting using deep learning models

BB Sahoo, B Panigrahi, T Nanda, MK Tiwari… - SN Computer …, 2023 - Springer
Accurate prediction of water demand in a city is crucial for the management of urban water
distribution system. The current study aims to create adequate daily water demand …

An ensemble neural network model to forecast drinking water consumption

A Zanfei, A Menapace, F Granata… - Journal of Water …, 2022 - ascelibrary.org
A reliable short-term forecasting model is fundamental to managing a water distribution
system properly. This study addresses the problem of the efficient development of a deep …