Urban Water Demand Forecasting: Review of Methods and Models-Reference-Cited by-同舟云学术

Urban Water Demand Forecasting: Review of Methods and Models

Published:2014-02 Issue:2 Volume:140 Page:146-159
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Donkor Emmanuel A.¹,Mazzuchi Thomas A.²,Soyer Refik³,Alan Roberson J.⁴

Affiliation:

1. Doctoral Student, Engineering Management and Systems Engineering, School of Engineering and Applied Sciences, George Washington Univ., 1776 G St. NW, Suite 101, Washington, DC 20052 (corresponding author).

2. Professor, Engineering Management and Systems Engineering, School of Engineering and Applied Sciences, George Washington Univ., 1776 G St. NW, Suite 101, Washington, DC 20052.

3. Professor, Decision Sciences, School of Business, George Washington Univ., 2201 G St. NW, Funger Hall, Suite 415C, Washington, DC 20052.

4. Director of Federal Relations, American Water Works Association, 1300 Eye St. NW #701W, Washington, DC 20005.

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.1943-5452.0000314

Reference53 articles.

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

2. Freshwater consumption in Kuwait: analysis and forecasting

3. Water Consumption Prediction of Istanbul City by Using Fuzzy Logic Approach

4. A short-term, pattern-based model for water-demand forecasting

5. Short-Term Forecasting for Urban Water Consumption

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