Spatial Analysis on Routine Occupant Behavior Patterns and Associated Factors in Residential Buildings-Reference-Cited by-同舟云学术

Spatial Analysis on Routine Occupant Behavior Patterns and Associated Factors in Residential Buildings

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2022
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Author:

Mo Yunjeong¹²,Zhao Dong¹²

Affiliation:

1. Dept. of Construction Management, College of Computing, Engineering, and Construction, Univ. of North Florida, Jacksonville, FL.

2. School of Planning, Design and Construction, Dept. of Civil and Environmental Engineering, Michigan State Univ., East Lasing, MI.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784483961.035

Reference17 articles.

1. Aksanli, B., Akyurek, A. S., and Rosing, T. S. (2016). “User behavior modeling for estimating residential energy consumption.” Smart City 360°, Springer, 348–361.

2. Modeling energy consumption in residential buildings: A bottom-up analysis based on occupant behavior pattern clustering and stochastic simulation;Diao L.;Energy and Buildings,2017

3. ESRI. (2018). “Data classification methods.” ArcGIS Pro .

4. Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts;Fonseca J. A.;Applied Energy,2015

5. Johnson B. J. Starke M. R. Abdelaziz O. A. Jackson R. K. and Tolbert L. M. (2014). “A method for modeling household occupant behavior to simulate residential energy consumption.” Innovative Smart Grid Technologies Conference (ISGT) 2014 IEEE PES IEEE 1–5.

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