Principal Factor Analysis for Forecasting Diurnal Water-Demand Pattern Using Combined Rough-Set and Fuzzy-Clustering Technique-Reference-Cited by-同舟云学术

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Principal Factor Analysis for Forecasting Diurnal Water-Demand Pattern Using Combined Rough-Set and Fuzzy-Clustering Technique

Published:2013-01 Issue:1 Volume:139 Page:23-33
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Liu Jing-qing¹,Cheng Wei-ping²,Zhang Tu-qiao³

Affiliation:

1. Associate Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

2. Associate Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China (corresponding author).

3. Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

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.1943-5452.0000223

Reference37 articles.

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

2. Short-Term Forecasting for Urban Water Consumption

3. Discovering rules for water demand prediction: An enhanced rough-set approach

4. Rough Set Application to Data Mining Principles in Pavement Management Database

5. Dynamic reducts as a tool for extracting laws from decisions tables

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