Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach

Published:2021-12 Issue: Volume:252 Page:111362
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Jin Yuan,Yan Da,Kang Xuyuan,Chong Adrian,Sun Hongsan--,Zhan Sicheng

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Norges Forskningsråd

National Research Council Canada

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference73 articles.

1. Hybrid buildings: a pathway to carbon neutral housing;Newton;Architect. Sci. Rev.,2010

2. Urban configurations of carbon neutrality: Insights from the Carbon Neutral Cities Alliance;Tozer;Environ. Planning C: Politics Space,2019

3. On-site renewable energy and green buildings: a system-level analysis;Al-Ghamdi;Environ. Sci. Technol.,2016

4. IEA EBC Annex 66: definition and simulation of occupant behavior in buildings;Yan;Energy Build.,2017

5. W. O’Brien, A. Wagner, M. Schweiker, et al., Introducing IEA EBC Annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. 2020: p. 106738.

Cited by 31 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. Intelligent detection of office occupancy using hybrid data-mining;Energy and Buildings;2024-11

2. Novel occupancy detection method based on convolutional neural network model using PIR sensor and smart meter data;Advanced Engineering Informatics;2024-10

3. Exploring impacts of thermal and lighting conditions on office workers’ subjective evaluations, cognitive performance and EEG features in multi-person offices;Journal of Building Engineering;2024-10

4. Enhanced multi-horizon occupancy prediction in smart buildings using cascaded Bi-LSTM models with integrated features;Energy and Buildings;2024-09

5. A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods;Journal of Environmental Management;2024-07

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