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 …
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 …
Overview, comparative assessment and recommendations of forecasting models for short-term water demand prediction
The stochastic nature of water consumption patterns during the day and week varies.
Therefore, to continually provide water to consumers with appropriate quality, quantity and …
Therefore, to continually provide water to consumers with appropriate quality, quantity and …
Predictive models for forecasting hourly urban water demand
One of the goals of efficient water supply management is the regular supply of clean water at
the pressure required by consumers. In this context, predicting water consumption in urban …
the pressure required by consumers. In this context, predicting water consumption in urban …
Hybrid neural network models for hydrologic time series forecasting
A Jain, AM Kumar - Applied Soft Computing, 2007 - Elsevier
The need for increased accuracies in time series forecasting has motivated the researchers
to develop innovative models. In this paper, a new hybrid time series neural network model …
to develop innovative models. In this paper, a new hybrid time series neural network model …
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 …
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 …
Improving real time flood forecasting using fuzzy inference system
In order to improve the real time forecasting of foods, this paper proposes a modified Takagi
Sugeno (T–S) fuzzy inference system termed as threshold subtractive clustering based …
Sugeno (T–S) fuzzy inference system termed as threshold subtractive clustering based …
A comparative analysis of training methods for artificial neural network rainfall–runoff models
S Srinivasulu, A Jain - Applied Soft Computing, 2006 - Elsevier
This paper compares various training methods available for training multi-layer perceptron
(MLP) type of artificial neural networks (ANNs) for modelling the rainfall–runoff process. The …
(MLP) type of artificial neural networks (ANNs) for modelling the rainfall–runoff process. The …
Short‐term flood forecasting with a neurofuzzy model
PC Nayak, KP Sudheer, DM Rangan… - Water Resources …, 2005 - Wiley Online Library
This study explores the potential of the neurofuzzy computing paradigm to model the rainfall‐
runoff process for forecasting the river flow of Kolar basin in India. The neurofuzzy computing …
runoff process for forecasting the river flow of Kolar basin in India. The neurofuzzy computing …