Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms
J Adamowski, C Karapataki - Journal of Hydrologic Engineering, 2010 - ascelibrary.org
For the past several years, Cyprus has been facing an unprecedented water crisis. Four
options that have been considered to help resolve the problem of drought in Cyprus include …
options that have been considered to help resolve the problem of drought in Cyprus include …
Peak daily water demand forecast modeling using artificial neural networks
JF Adamowski - Journal of Water Resources Planning and …, 2008 - ascelibrary.org
Peak daily water demand forecasts are required for the cost-effective and sustainable
management and expansion of urban water supply infrastructure. This paper compares …
management and expansion of urban water supply infrastructure. This paper compares …
Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks
A Jain, A Kumar Varshney, U Chandra Joshi - Water resources …, 2001 - Springer
The efficient operation and management of an existing water supply system require short-
term water demand forecasts as inputs. Conventionally, regression and time series analysis …
term water demand forecasts as inputs. Conventionally, regression and time series analysis …
Identifying prominent explanatory variables for water demand prediction using artificial neural networks: a case study of Bangkok
The water demand of a city is a complex and non linear function of climatic, socioeconomic,
institutional and management variables. Identifying the prominent variables among these is …
institutional and management variables. Identifying the prominent variables among these is …
Short‐term municipal water demand forecasting
J Bougadis, K Adamowski… - … : An International Journal, 2005 - Wiley Online Library
Water demand forecasts are needed for the design, operation and management of urban
water supply systems. In this study, the relative performance of regression, time series …
water supply systems. In this study, the relative performance of regression, time series …
Short-term water demand predictions coupling an artificial neural network model and a genetic algorithm
MG Shirkoohi, M Doghri, S Duchesne - Water Supply, 2021 - iwaponline.com
The application of artificial neural network (ANN) models for short-term (15 min) urban water
demand predictions is evaluated. Optimization of the ANN model's hyperparameters with a …
demand predictions is evaluated. Optimization of the ANN model's hyperparameters with a …
Urban residential water demand prediction based on artificial neural networks and time series models
MA Al-Zahrani, A Abo-Monasar - Water resources management, 2015 - Springer
Water demand prediction is essential in any short or long-term management plans. For short-
term prediction of water demand, climatic factors play an important role since they have …
term prediction of water demand, climatic factors play an important role since they have …
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network …
J Adamowski, H Fung Chan, SO Prasher… - Water resources …, 2012 - Wiley Online Library
Daily water demand forecasts are an important component of cost‐effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …
management and optimization of urban water supply systems. In this study, a method based …
Short-term water demand forecasting using machine learning techniques
A Antunes, A Andrade-Campos… - Journal of …, 2018 - iwaponline.com
Nowadays, a large number of water utilities still manage their operation on the instant water
demand of the network, meaning that the use of the equipment is conditioned by the …
demand of the network, meaning that the use of the equipment is conditioned by the …
Predicting water demand: A review of the methods employed and future possibilities
The balance between water supply and demand requires efficient water supply system
management techniques. This balance is achieved through operational actions, many of …
management techniques. This balance is achieved through operational actions, many of …