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
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
categories
licence

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
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
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
associated peer-reviewed publication
The effect of group decisions in heat transitions: An agent-based approach
references
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)
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188,447 bytesMD5:
ed4db85d092d42ba042c962d7a37fb00
Paper2.nlogo - download all files (zip)
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