Comparison of deep learning approaches for forecasting urban short-term water demand a Greater Sydney Region case study
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference36 articles.
1. Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects;Zounemat-Kermani;J. Hydrol.,2020
2. Adaptive water demand forecasting for near real-time management of smart water distribution systems;Romano;Environ. Model. Softw.,2014
3. A critical review of short-term water demand forecasting tools—what method should I use?;Niknam;Sustainability,2022
4. Wind power prediction using random vector functional link network with capuchin search algorithm;Al-qaness;Ain Shams Eng. J.,2022
5. An optimized neuro-fuzzy system using advance nature- inspired aquila and salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations;Al-qaness;J. Energy Storage,2022
Cited by 5 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. DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination;Expert Systems with Applications;2024-11
2. Reliable multi-horizon water demand forecasting model: A temporal deep learning approach;Sustainable Cities and Society;2024-10
3. 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
4. Urban Water Demand Prediction Based on Attention Mechanism Graph Convolutional Network-Long Short-Term Memory;Water;2024-03-13
5. Exploring Long Short Term Memory Algorithms for Low Energy Data Aggregation;Journal of Machine and Computing;2024-01-05
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