登录 注册 会员服务 联系我们

Smart meters data for modeling and forecasting water demand at the user-level

  • Published:2020-03 Issue: Volume:125 Page:104633
  • ISSN:1364-8152
  • Container-title:Environmental Modelling & Software
  • language:en
  • Short-container-title:Environmental Modelling & Software

Author:

Pesantez Jorge E.,Berglund Emily Zechman,Kaza Nikhil

Funder

UNC Inter-institutional Planning Grant Program, USA

Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference83 articles.

1. Peak daily water demand forecast modeling using artificial neural networks;Adamowski;J. Water Resour. Plann. Manag.,2008

2. Residential water use: Predicting and reducing consumption;Aitken;J. Appl. Soc. Psychol.,1994

3. Demand estimation with automated meter reading in a distribution network;Aksela;J. Water Resour. Plann. Manag.,2011

4. Generation of synthetic water demand time series at different temporal and spatial aggregation levels;Alvisi;Urban Water J.,2014

5. Short-term water demand forecasting using machine learning techniques;Antunes;J. Hydroinform.,2018

Cited by 68 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

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