Agent-based model described in journal article "The effect of group decisions in heat transitions: An agent-based approach"

doi:10.4121/18865415.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/18865415
Datacite citation style:
Luteijn-Nava Guerrero, Graciela; Hansen, Helle Hvid; Korevaar, Gijsbert; Lukszo, Zofia (2022): Agent-based model described in journal article "The effect of group decisions in heat transitions: An agent-based approach". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18865415.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This agent-based model is described in:
DOI: https://doi.org/10.1016/j.enpol.2021.112306
Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2021). The effect of group decisions in heat transitions: An agent-based approach. Energy Policy, 156, 112306.
This NetLogo file also contains an information page about the model. You can open this NetLogo file (.nlogo) with the NetLogo software. The NetLogo software can be downloaded from:
https://ccl.northwestern.edu/netlogo/download.shtml

A set of .CSV files with simulation results from this agent-based model is also available in this repository: https://doi.org/10.4121/18865385
To cite this model, please use the following citation:

Nava-Guerrero, G. D. C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). Agent-based model described in journal article “The effect of group decisions in heat transitions: An agent-based approach”. Publisher of agent-based model: 4TU Repository. DOI of agent-based model: https://doi.org/10.4121/18865415.

history
  • 2022-01-28 first online, published, posted
publisher
4TU.ResearchData
format
.nlogo
funding
  • This research was funded by the Dutch Research Council (NWO, for its initials in the Dutch language), as part of project number 14183 “Modeling Lab for smart grids, smart policies, smart entrepreneurship”. This project is Project E from the Smart Energy Systems in the Built Environment (SES-BE) Program.
organizations
TU Delft; Faculty of Technology, Policy and Management; Department Engineering Systems and Services; Energy and Industry Group

DATA

files (1)