A Novel Approach for Predicting Water Demand with Complex Patterns Based on Ensemble Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Novel Approach for Predicting Water Demand with Complex Patterns Based on Ensemble Learning

Published:2022-07-29 Issue:11 Volume:36 Page:4293-4312
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Xu Zhihao,Lv Zhiqiang,Li Jianbo,Shi Anshuo

Funder

National Key Research and Development Plan Key Special Projects

Shandong Province colleges and universities youth innovation technology plan innovation team project

Shandong Provincial Natural Science Foundation

Program for Innovative Postdoctoral Talents in Shandong Province

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-022-03255-5.pdf

Reference32 articles.

1. Abu-Bakar H, Williams L, Hallett SH (2021) A review of household water demand management and consumption measurement. J Clean Prod 292:125872. https://doi.org/10.1016/j.jclepro.2021.125872

2. Adamowski J, Adamowski K, Prokoph A (2013) A spectral analysis based methodology to detect climatological influences on daily urban water demand. Math Geosci 45:49–68. https://doi.org/10.1007/s11004-012-9427-0

3. Alamanos A, Sfyris S, Fafoutis C et al (2020) Urban water demand assessment for sustainable water resources management, under climate change and socioeconomic changes. Water Supply 20:679–687. https://doi.org/10.2166/ws.2019.199

4. Antonopoulos VZ, Gianniou SK (2022) Analysis and modelling of temperature at the water – atmosphere interface of a lake by energy budget and ANNs models. Environ Process 9:1–20. https://doi.org/10.1007/s40710-022-00572-0

5. Awadh SM, Al-Mimar H, Yaseen ZM (2021) Groundwater availability and water demand sustainability over the upper mega aquifers of Arabian Peninsula and west region of Iraq. Environ Dev Sustain 23:1–21. https://doi.org/10.1007/s10668-019-00578-z

Cited by 18 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. Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco;Applied Water Science;2024-04-13

2. Identifying the Applications of Artificial Intelligence in Online Marketing;Advances in Marketing, Customer Relationship Management, and E-Services;2024-03-08

3. A Machine Learning Approach for Hydroelectric Power Forecasting;2023 14th International Renewable Energy Congress (IREC);2023-12-16

4. Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing;Applied Sciences;2023-11-20

5. Dynamic Graph Convolution-Based Spatio-Temporal Feature Network for Urban Water Demand Forecasting;Applied Sciences;2023-09-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3