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EPIA Conference on Artificial Intelligence

EPIA 2019: Progress in Artificial Intelligence pp 427–437Cite as

Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11804))

Abstract

Spatial data mining aims at the discovery of unknown, useful patterns from large spatial datasets. This article presents a thorough analysis of the Portuguese adopters of distributed energy resources using explorative spatial data mining techniques. These resources are currently passing the early adoption stage in the study area. Results show adopter clustering during the current stage. Furthermore, spatial adoption patterns are simulated over a 20-year horizon, analyzing technology concentration changes over time while comparing three different energy policy designs. Outcomes provide useful indication for both electrical network planning and energy policy design.

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Acknowledgement

The authors gratefully acknowledge the provision of data-sets by the Portuguese Energy Agency (ADENE) and CEiiA. F. Heymann acknowledges the financial support granted under FCT-MIT Portugal Scholarship PD/BD/114262/2016. This work has been co-financed by National Funds through the Portuguese funding agency (Fundação para a Ciência e a Tecnologia) within project: UID/EEA/50014/2019.

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Authors and Affiliations

  1. Faculty of Engineering, University of Porto, Porto, Portugal

    Fabian Heymann & Vladimiro Miranda

  2. INESC TEC, Porto, Portugal

    Fabian Heymann, Filipe Joel Soares & Vladimiro Miranda

  3. Massachusetts Institute of Technology, 40 Ames Street, Cambridge, MA, 02142, USA

    Pablo Duenas

Authors
  1. Fabian Heymann
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  2. Filipe Joel Soares
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  3. Pablo Duenas
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  4. Vladimiro Miranda
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Corresponding author

Correspondence to Fabian Heymann .

Editor information

Editors and Affiliations

  1. INESC-TEC, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Paulo Moura Oliveira

  2. University of Minho, Braga, Portugal

    Paulo Novais

  3. LIACC/UP, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Heymann, F., Soares, F.J., Duenas, P., Miranda, V. (2019). Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design Analysis. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11804. Springer, Cham. https://doi.org/10.1007/978-3-030-30241-2_36

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  • DOI: https://doi.org/10.1007/978-3-030-30241-2_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30240-5

  • Online ISBN: 978-3-030-30241-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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