Toward a building occupant network agent-based model to simulate peer induced energy conservation behavior

Jiayu Chen; John E. Taylor; His Hsien Wei

doi:10.1109/WSC.2011.6147814

Toward a building occupant network agent-based model to simulate peer induced energy conservation behavior

Jiayu Chen, John E. Taylor, His Hsien Wei

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

9 Citations (Scopus)

Abstract

Building occupant networks can impact energy use decision-making. With the use of eco-feedback systems, energy usage information can propagate through social networks and influence an individual's energy consumption decisions. In this paper, we develop a computational model for individual energy consumption behavior and network information transmission. By comparing the impact of several parameters in the network level computational model and validating the parameters in an experimental setting, future research can utilize this model to clarify how network relations can be leveraged for modifying energy conservation behavior.

Original language	English
Title of host publication	Proceedings of the 2011 Winter Simulation Conference, WSC 2011
Pages	883-890
Number of pages	8
DOIs	https://doi.org/10.1109/WSC.2011.6147814
Publication status	Published - 2011
Event	2011 Winter Simulation Conference, WSC 2011 - Phoenix, AZ, United States Duration: 11 Dec 2011 → 14 Dec 2011

Publication series

Name	Proceedings - Winter Simulation Conference
ISSN (Print)	0891-7736

Conference

Conference	2011 Winter Simulation Conference, WSC 2011
Country/Territory	United States
City	Phoenix, AZ
Period	11/12/11 → 14/12/11

ASJC Scopus subject areas

Software
Modelling and Simulation
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/WSC.2011.6147814

Cite this

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title = "Toward a building occupant network agent-based model to simulate peer induced energy conservation behavior",

abstract = "Building occupant networks can impact energy use decision-making. With the use of eco-feedback systems, energy usage information can propagate through social networks and influence an individual's energy consumption decisions. In this paper, we develop a computational model for individual energy consumption behavior and network information transmission. By comparing the impact of several parameters in the network level computational model and validating the parameters in an experimental setting, future research can utilize this model to clarify how network relations can be leveraged for modifying energy conservation behavior.",

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Chen, J, Taylor, JE & Wei, HH 2011, Toward a building occupant network agent-based model to simulate peer induced energy conservation behavior. in Proceedings of the 2011 Winter Simulation Conference, WSC 2011., 6147814, Proceedings - Winter Simulation Conference, pp. 883-890, 2011 Winter Simulation Conference, WSC 2011, Phoenix, AZ, United States, 11/12/11. https://doi.org/10.1109/WSC.2011.6147814

Toward a building occupant network agent-based model to simulate peer induced energy conservation behavior. / Chen, Jiayu; Taylor, John E.; Wei, His Hsien.
Proceedings of the 2011 Winter Simulation Conference, WSC 2011. 2011. p. 883-890 6147814 (Proceedings - Winter Simulation Conference).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Toward a building occupant network agent-based model to simulate peer induced energy conservation behavior

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

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