A review of agent-based models for forecasting the deployment of distributed generation in energy systems

  • Authors:

  • Jason G. Veneman;M. A. Oey;L. J. Kortmann;F. M. Brazier;L. J. de Vries

  • Affiliations:

  • Delft University of Technology;Delft University of Technology;Delft University of Technology;Delft University of Technology;Delft University of Technology

  • Venue:
  • Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference
  • Year:
  • 2011

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Abstract

Agent-based models are seeing increasing use in the study of distributed generation (DG) deployment. Researchers and decision makers involved in the implementation of DG have been lacking a concise overview of why they should consider using agent-based modeling (ABM) for forecasting purposes. Since this particular field of inquiry has only developed over the past few years there has yet to be a review of ABMs of DG deployment. In light of these developments the reasons to consider using ABM to develop a deeper understanding of the transition issues relevant to the increasing use of DG are presented. The current state of ABMs of DG deployment is reviewed followed by areas for improving these models and directions for further research.