PublicadoEl 20/02/25 por Comillas
Capítulo de libro

Explorative spatial data mining for energy technology adoption and policy design analysis

tipo de documento semantico ckh_publication

Ficheros

IIT-19-197C
Tamaño 831562
Formato Unknown
Autor
Heymann, Fabian
Soares, Filipe J.
Dueñas Martínez, Pablo
Miranda, Vladimiro
Fuente Libro: 19th Conference on Artificial Intelligence - EPIA 2019, Página inicial: 427-437, Página final:
Estado info:eu-repo/semantics/publishedVersion

Resumen

Idioma es-ES
Idioma en-GB
Resumen

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. Results show clustering of distributed energy resources that currently passing the early adoption stage in Portugal. 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.

Editorial Universidade de Trás-os-Montes e Alto Douro (Vila Real, Portugal)
Grupos de investigación y líneas temáticas Instituto de Investigación Tecnológica (IIT)

Palabras clave

Tipo de archivo application/octet-stream
Idioma en-GB
Tipo de acceso info:eu-repo/semantics/openAccess
Fecha de modificacion 25/11/2024
Fecha de disponibilidad 25/11/2024
fecha de alta 25/11/2024

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