Water consumption patterns as a basis for water demand modeling-Reference-Cited by-同舟云学术

Water consumption patterns as a basis for water demand modeling

Published:2015-10 Issue:10 Volume:51 Page:8165-8181
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Avni Noa¹²,Fishbain Barak¹²,Shamir Uri²

Affiliation:

1. Department of EnvironmentalWater, and Agriculture Engineering, Technion—Israel Institute of TechnologyHaifa Israel

2. Faculty of Civil and Environmental Engineering, Department of Environmental, Water, and Agriculture EngineeringTechnion—Israel Institute of TechnologyHaifa Israel

Funder

Glasberg-Klein

NY Metropolitan Research Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2014WR016662

Reference29 articles.

1. A multivariate econometric approach for domestic water demand modeling: An application to Kathmandu, Nepal

2. Improved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correction

3. Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis

4. Use of Gene-Expression Profiling to Identify Prognostic Subclasses in Adult Acute Myeloid Leukemia

5. Maximum likelihood from incomplete data via the EM algorithm;Dempster A. P.;J. R. Stat. Soc., Ser. B,1977

Cited by 47 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. Spatiotemporal patterns and driving factors of urban-rural water use from the production and domestic perspectives: A case study of Beijing-Tianjin-Hebei urban agglomeration, China;Sustainable Cities and Society;2024-11

2. A Methodology for Forecasting Demands in a Water Distribution Network Based on the Classical and Neural Networks Approach;The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024);2024-09-02

3. Identifying daily water consumption patterns based on K-means Clustering, Agglomerative Hierarchical Clustering, and Spectral Clustering algorithms;AQUA — Water Infrastructure, Ecosystems and Society;2024-04-27

4. Research on Water Price and Quantity to Meet the Basic Living Needs of Urban Residents Based on Water Conservation;Water Resources Management;2024-02-09

5. Individualized monitoring and forecasting of water consumption: A preliminary study;AIP Conference Proceedings;2024