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 …
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 …
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 …
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 …
A wavelet neural network conjunction model for groundwater level forecasting
J Adamowski, HF Chan - Journal of Hydrology, 2011 - Elsevier
Accurate and reliable groundwater level forecasting models can help ensure the sustainable
use of a watershed's aquifers for urban and rural water supply. In this paper, a new method …
use of a watershed's aquifers for urban and rural water supply. In this paper, a new method …
Forecasting urban water demand via wavelet-denoising and neural network models. Case study: city of Syracuse, Italy
Forecasting urban water demand can be of use in the management of water utilities. For
example, activities such as water-budgeting, operation and maintenance of pumps, wells …
example, activities such as water-budgeting, operation and maintenance of pumps, wells …
Multiple random forests modelling for urban water consumption forecasting
G Chen, T Long, J Xiong, Y Bai - Water Resources Management, 2017 - Springer
The precise forecasting of water consumption is the basis in water resources planning and
management. However, predicting water consumption fluctuations is complicated, given …
management. However, predicting water consumption fluctuations is complicated, given …
Monthly water quality forecasting and uncertainty assessment via bootstrapped wavelet neural networks under missing data for Harbin, China
In this paper, bootstrapped wavelet neural network (BWNN) was developed for predicting
monthly ammonia nitrogen (NH 4+–N) and dissolved oxygen (DO) in Harbin region …
monthly ammonia nitrogen (NH 4+–N) and dissolved oxygen (DO) in Harbin region …
Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
Reliable water level forecasting for reservoir inflow is essential for reservoir operation. The
objective of this paper is to develop and apply two hybrid models for daily water level …
objective of this paper is to develop and apply two hybrid models for daily water level …
A comparative study of various hybrid wavelet feedforward neural network models for runoff forecasting
Considering network topologies and structures of the artificial neural network (ANN) used in
the field of hydrology, one can categorize them into two different generic types: feedforward …
the field of hydrology, one can categorize them into two different generic types: feedforward …