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 …
Medium-term urban water demand forecasting with limited data using an ensemble wavelet–bootstrap machine-learning approach
MK Tiwari, JF Adamowski - Journal of Water Resources Planning …, 2015 - ascelibrary.org
Accurate and reliable weekly and monthly water demand forecasting is important for
effective and sustainable planning and use of urban water supply infrastructure. This study …
effective and sustainable planning and use of urban water supply infrastructure. This study …
Urban water demand forecasting and uncertainty assessment using ensemble wavelet‐bootstrap‐neural network models
MK Tiwari, J Adamowski - Water Resources Research, 2013 - Wiley Online Library
A new hybrid wavelet‐bootstrap‐neural network (WBNN) model is proposed in this study for
short term (1, 3, and 5 day; 1 and 2 week; and 1 and 2 month) urban water demand …
short term (1, 3, and 5 day; 1 and 2 week; and 1 and 2 month) urban water demand …
Probabilistic urban water demand forecasting using wavelet-based machine learning models
A recent nonlinear and multiscale framework, the Wavelet Data-Driven Forecasting
Framework (WDDFF), was proposed for water resources forecasting. The main objective of …
Framework (WDDFF), was proposed for water resources forecasting. The main objective of …
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 …
Monthly water consumption prediction using season algorithm and wavelet transform–based models
A Altunkaynak, TA Nigussie - Journal of Water Resources Planning …, 2017 - ascelibrary.org
Accurate prediction of water demand is essential for optimum management of water
resources and sustainable growth and development. Recently, models based on artificial …
resources and sustainable growth and development. Recently, models based on artificial …
Urban water demand forecasting with a dynamic artificial neural network model
M Ghiassi, DK Zimbra, H Saidane - Journal of Water Resources …, 2008 - ascelibrary.org
This paper presents the development of a dynamic artificial neural network model (DAN2)
for comprehensive urban water demand forecasting. Accurate short-, medium-, and long …
for comprehensive urban water demand forecasting. Accurate short-, medium-, and long …
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 …
[HTML][HTML] A novel methodology for prediction urban water demand by wavelet denoising and adaptive neuro-fuzzy inference system approach
Accurate and reliable urban water demand prediction is imperative for providing the basis to
design, operate, and manage water system, especially under the scarcity of the natural …
design, operate, and manage water system, especially under the scarcity of the natural …
Urban water demand forecasting: review of methods and models
This paper reviews the literature on urban water demand forecasting published from 2000 to
2010 to identify methods and models useful for specific water utility decision making …
2010 to identify methods and models useful for specific water utility decision making …