Identifying Residential Water End Uses Underpinning Peak Day and Peak Hour Demand-Reference-Cited by-同舟云学术

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Identifying Residential Water End Uses Underpinning Peak Day and Peak Hour Demand

Published:2014-07 Issue:7 Volume:140 Page:04014008
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Beal Cara D.¹,Stewart Rodney A.²

Affiliation:

1. Research Fellow, Smart Water Research Centre, Griffith Univ., Gold Coast Campus, Southport, QLD 4222, Australia (corresponding author).

2. Director, Centre for Infrastructure Engineering and Management, Griffith Univ., Gold Coast Campus, Southport, QLD 4222, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000357

Reference49 articles.

1. Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks

2. Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms

3. Modeling of Drinking Water Distribution Networks Using Stochastic Demand

4. Aquacraft. (2006). Trace wizard water use analysis tool Boulder CO.

5. Aquacraft. (2010). Trace Wizard version 4.1 1995–2010 Aquacraft Boulder CO.

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