Typical weekly occupancy profiles in non-residential buildings based on mobile positioning data-Reference-Cited by-同舟云学术

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Typical weekly occupancy profiles in non-residential buildings based on mobile positioning data

Published:2021-11 Issue: Volume:250 Page:111264
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Kang Xuyuan,Yan Da^ORCID,An Jingjing,Jin Yuan^ORCID,Sun Hongsan

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Advanced Innovation Center for Future Urban Design

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

Beijing University of Civil Engineering and Architecture

Publisher

Elsevier BV

Subject

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

Reference61 articles.

1. International Energy Agency, “World Energy Balances,” 2019.

2. International Energy Agency, “World Energy Outlook,” 2019.

3. A review on modeling and simulation of building energy systems;Harish;Renew. Sustain. Energy Rev.,2016

4. IEA EBC annex 53: total energy use in buildings—Analysis and evaluation methods;Yoshino;Energy Build.,2017

5. An action-based Markov chain modeling approach for predicting the window operating behavior in office spaces;Zhou;Build. Simul.,2021

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