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From data to dignity: Understanding and predicting fuel poverty in the United Kingdom with machine learning

;

In
Energy research & social science : ERSS 129, Seiten/Artikel-Nr.:104410

ImpressumAmsterdam ˜[u.a.]œ : Elsevier

Umfang[1]-15

ISSN2214-6326

Online
DOI: 10.1016/j.erss.2025.104410

DOI: 10.18154/RWTH-2025-10120
URL: https://publications.rwth-aachen.de/record/1022573/files/1022573.pdf

Einrichtungen

  1. Lehrstuhl für Wirtschaftswissenschaften, insbesondere Energieökonomik (816110)
  2. E.ON Energy Research Center (080052)

Projekte

  1. OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)

Thematische Einordnung (Klassifikation)
DDC: 624

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105020945521
WOS Core Collection: WOS:001608351700001

Interne Identnummern
RWTH-2025-10120
Datensatz-ID: 1022573

Beteiligte Länder
Germany, Norway

Lizenzstatus der Zeitschrift

 GO


Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Social and Behavioral Sciences ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Social Sciences Citation Index

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The record appears in these collections:
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Publication server / Open Access
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Publication Charges
Publications database
080052
816110

TypAmountVATCurrencyShareStatusCost centre
Other100.007.00EUR3.74 %(DEAL)021000-816110
Hybrid-OA2575.00180.25EUR96.26 %(DEAL)021000-816110
Sum2675.00187.25EUR   
Total2862.25     
 Record created 2025-11-28, last modified 2026-01-10


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