A multi-scale relevance vector regression approach for daily urban water demand forecasting-Reference-Cited by-同舟云学术

A multi-scale relevance vector regression approach for daily urban water demand forecasting

Published:2014-09 Issue: Volume:517 Page:236-245
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Bai Yun,Wang Pu,Li Chuan,Xie Jingjing,Wang Yin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference45 articles.

1. Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis;Adamowski;J. Hydrol.,2008

2. Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms;Adamowski;J. Hydrol. Eng.,2010

3. Freshwater consumption in Kuwait: analysis and forecasting;Alhumoud;J. Water Supply Res. Technol.-AQUA,2008

4. Identifying prominent explanatory variables for water demand prediction using artificial neural networks: a case study of Bangkok;Babel;Water Resour. Manage.,2011

5. A novel mixed method smart metering approach to reconciling differences between perceived and actual residential end use water consumption;Beal;J. Cleaner Prod.,2011

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