Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks

Published:2008-03 Issue:2 Volume:134 Page:119-128
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Adamowski Jan Franklin¹

Affiliation:

1. Postdoctoral Researcher, Cyprus Institute Program for Energy, Environment, and Water Resources, Massachusetts Institute of Technology, 77 Massachusetts Avenue, E40-469, Cambridge, MA 02139; formerly, Institute of Environmental Engineering Systems, Warsaw Univ. of Technology, ul. Nowowiejska 20, Warsaw, Poland 00-653. E-mail: jfadamowskica@yahoo.ca

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%290733-9496%282008%29134%3A2%28119%29

Reference17 articles.

1. WATER SAVINGS FROM LAWN WATERING RESTRICTIONS DURING A DROUGHT YEAR, FORT COLLINS, COLORADO

2. Short-term municipal water demand forecasting

3. Forecasting peak demand—What do we need to know?;Day D.;Water Sci. Technol.: Water Supply,2003

4. Interannual Variability of Water Demand and Summer Climate in Albuquerque, New Mexico

5. The impact of price on residential water demand and its relation to system design and price structure

Cited by 131 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. Enhancing accuracy and interpretability of multi-steps water demand prediction through prior knowledge integration in neural network architecture;Water Research X;2024-09

2. Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand;Environmental Research: Infrastructure and Sustainability;2024-07-19

3. Water peaking with a three‐pillar analysis in China: Exploring the interplay of resource utilization and industrial structure;Natural Resources Forum;2024-07-08

4. Short-term water demand prediction based on decomposition technique optimization and a multihead attention mechanism;Journal of Hydroinformatics;2024-06-11

5. Artificial Intelligence for Water Consumption Assessment: State of the Art Review;Water Resources Management;2024-04-25