Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models

Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations

(2013) Mohammad Arhami et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Improving reliability of river flow forecasting using neural networks, wavelets and self-organising maps

(2013) Mukesh K. Tiwari et al.   JOURNAL OF HYDROINFORMATICS

A new wavelet–bootstrap–ANN hybrid model for daily discharge forecasting

(2011) Mukesh K. Tiwari et al.   JOURNAL OF HYDROINFORMATICS

A wavelet neural network conjunction model for groundwater level forecasting

(2011) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

Urban water demand modeling: Review of concepts, methods, and organizing principles

(2011) Lily A. House-Peters et al.   WATER RESOURCES RESEARCH

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

(2011) Jan Adamowski et al.   WATER RESOURCES RESEARCH

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Wavelet regression model for short-term streamflow forecasting

(2010) Ozgur Kisi   JOURNAL OF HYDROLOGY

Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds

(2010) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach

(2010) Mukesh K. Tiwari et al.   JOURNAL OF HYDROLOGY

Predictive models for forecasting hourly urban water demand

(2010) Manuel Herrera et al.   JOURNAL OF HYDROLOGY

Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Performance of Combined Double Seasonal Univariate Time Series Models for Forecasting Water Demand

(2009) Jorge Caiado   JOURNAL OF HYDROLOGIC ENGINEERING

Comparative analysis of fuzzy inference systems for water consumption time series prediction

(2009) Mahmut Firat et al.   JOURNAL OF HYDROLOGY

Bootstrap based artificial neural network (BANN) analysis for hierarchical prediction of monthly runoff in Upper Damodar Valley Catchment

(2009) S.K. Sharma et al.   JOURNAL OF HYDROLOGY

Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models

(2009) G.B. Sahoo et al.   JOURNAL OF HYDROLOGY

Methods to improve neural network performance in daily flows prediction

(2009) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs)

(2009) Mukesh Kumar Tiwari et al.   JOURNAL OF HYDROLOGY

Bayesian committee of neural networks to predict travel times with confidence intervals

(2009) C.P.IJ. van Hinsbergen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling

(2009) Vahid Nourani et al.   WATER RESOURCES MANAGEMENT

Future research challenges for incorporation of uncertainty in environmental and ecological decision-making

(2008) J.C. Ascough et al.   ECOLOGICAL MODELLING

River Flow Prediction Using an Integrated Approach

(2008) Sanaga Srinivasulu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks

(2008) Jan Franklin Adamowski   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Urban Water Demand Forecasting with a Dynamic Artificial Neural Network Model

(2008) M. Ghiassi et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT