Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy-Reference-Cited by-同舟云学术

Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy

Published:2012-07-04 Issue:12 Volume:26 Page:3539-3558
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Campisi-Pinto Salvatore,Adamowski Jan,Oron Gideon

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-012-0089-y.pdf

Reference49 articles.

1. Adamowski J (2008) Peak daily water demand forecast modeling using artificial neural networks. J Water Resour Plan Manage 134(2):119–128

2. Adamowski J, Chan HF (2011) A wavelet neural network conjunction model for groundwater level forecasting. J Hydrol 407(1–4):28–40

3. Adamowski J, Karapataki C (2010) Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms. J Hydrol Eng 15:729–743

4. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390(1–2):85–91

5. Adamowski K, Prokoph A, Adamowski J (2009) Development of a new method of wavelet aided trend detection and estimation. Hydrol Process Spec Issue Can Geophys Union Hydrol Sect 23:2686–2696

Cited by 90 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using wavelet transform to analyze the dynamics of climatic variables; to assess the status of available water resources in Iran (1961–2020);Earth Science Informatics;2024-08-31

2. A comprehensive evaluation of the long-term trend of the basic climatic variables and the net water available (NWA) index in Iran during the period from 1960 to 2020;2024-06-12

3. Predictive Integrated Groundwater Quality Index in Central Terai of Nepal for Drinking and Agriculture Use: An Advanced Geospatial Analysis with Indices (EWQI, IWQI) and ANN Modelling;2024-02-13

4. Analyzing trend and periodicity of climatic variables during 1961-2020 over Iran, based on observation data;2023-11-21

5. Coupling uncertain patterns of climatic variables in estimating evaporation from open water bodies;Stochastic Environmental Research and Risk Assessment;2023-11-09