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International Work-Conference on Artificial Neural Networks

IWANN 2021: Advances in Computational Intelligence pp 118–127Cite as

Sensitivity Analysis of an Empirical Agent-Based Model of District Heating Network Adoption

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12862))

Abstract

We present results from a sensitivity analysis study of an agent-based model of district heating network adoption in an area of Aberdeen, Scotland.

The work reported here is part of the SMARTEES project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 763912.

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References

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Author information

Authors and Affiliations

  1. Information and Computational Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, AB15 8QH, UK

    Gary Polhill & Doug Salt

  2. Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, AB15 8QH, UK

    Tony Craig, Ruth Wilson & Kathryn Colley

Authors
  1. Gary Polhill
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  2. Doug Salt
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  3. Tony Craig
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  4. Ruth Wilson
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  5. Kathryn Colley
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Corresponding author

Correspondence to Gary Polhill .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Málaga, Málaga, Spain

    Gonzalo Joya

  3. Technical University of Catalonia, Barcelona, Spain

    Andreu Català

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Cite this paper

Polhill, G., Salt, D., Craig, T., Wilson, R., Colley, K. (2021). Sensitivity Analysis of an Empirical Agent-Based Model of District Heating Network Adoption. In: Rojas, I., Joya, G., Català, A. (eds) Advances in Computational Intelligence. IWANN 2021. Lecture Notes in Computer Science(), vol 12862. Springer, Cham. https://doi.org/10.1007/978-3-030-85099-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-85099-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85098-2

  • Online ISBN: 978-3-030-85099-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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