Print Email Facebook Twitter A review of agent-based models for forecasting the deployment of distributed generation in energy systems Title A review of agent-based models for forecasting the deployment of distributed generation in energy systems Author Veneman, J.F. Oey, M.A. Kortmann, L.J. Brazier, F.M. De Vries, L.J. Faculty Technology, Policy and Management Department Multi Actor Systems Date 2011-12-31 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 Subject distributed generation, energy forecasting, agentbased modeling, consumer behavior, product deployment To reference this document use: http://resolver.tudelft.nl/uuid:e2b0bd6a-db79-4c98-86e9-0881f804cf2f ISBN 1-56555-345-4 Source Proceedings of the 2011 Summer Simulation Multiconference (ISMC'11), The Hague (The Netherlands), 27-30 June 2011 Part of collection Institutional Repository Document type conference paper Rights (c) 2011 The Authors Files PDF 288932.pdf 97.59 KB Close viewer /islandora/object/uuid:e2b0bd6a-db79-4c98-86e9-0881f804cf2f/datastream/OBJ/view