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

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.