Download PDFOpen PDF in browser

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

EasyChair Preprint 1554

11 pagesDate: September 23, 2019

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 (DER) using explorative spatial data mining techniques. Results show clustering of DER that are all in early adoption stage. Furthermore, spatial adoption patterns are simulated over a 20 year horizon, analyzing technology concentration changes over time and comparing three different energy policy designs. Outcomes provide useful indication for both electrical network planning and energy policy design.

Keyphrases: Diffusion of Innovation, Spatial Data Mining, renewable energy

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:1554,
  author    = {Fabian Heymann and Filipe Joel Soares and Pablo Duenas and Vladimiro Miranda},
  title     = {Explorative Spatial Data Mining for Energy Technology Adoption and Policy Design Analysis},
  howpublished = {EasyChair Preprint 1554},
  year      = {EasyChair, 2019}}
Download PDFOpen PDF in browser