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Agent-Based Simulation of Technology Adoption: Possible phenomenologies associated with consumer shifts to local electricity generation

Author

Listed:
  • D. J. Hamilton

    (Judge Business School, University of Cambridge)

  • W. J. Nuttall

    (Judge Business School, University of Cambridge)

  • F. A. Roques

    (CNRS-CIRED, Nogent, France)

Abstract

No abstract is available for this item.

Suggested Citation

  • D. J. Hamilton & W. J. Nuttall & F. A. Roques, 2009. "Agent-Based Simulation of Technology Adoption: Possible phenomenologies associated with consumer shifts to local electricity generation," Working Papers EPRG 0923, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg0923
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    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp0923.pdf
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    Citations

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    Cited by:

    1. Elena Claire Ricci, 2013. "Smart-Grids and Climate Change. Consumer adoption of smart energy behaviour: a system dynamics approach to evaluate the mitigation potential," Working Papers 2013.71, Fondazione Eni Enrico Mattei.

    More about this item

    Keywords

    Agent-based Simulation; Technology Diffusion; Fashion;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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