Home > Publications database > Revealing drivers of green technology adoption through explainable Artificial Intelligence
 
TypAmountVATCurrencyShareStatusCost centre
APC3184.000.00EUR100.00 %(Zahlung erfolgt)ZB
Sum3184.000.00EUR   
Total3184.00     
Journal Article FZJ-2025-04101
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Revealing drivers of green technology adoption through explainable Artificial Intelligence

 ;  ;  ;  ;  ;

2025
Elsevier ScienceDirect [Amsterdam]

Advances in applied energy 20, 100242 - () [10.1016/j.adapen.2025.100242]

This record in other databases:    

Please use a persistent id in citations: doi:  doi:

Classification:
Contributing Institute(s):
  1. Jülicher Systemanalyse (ICE-2)
  2. Modellierung von Energiesystemen (ICE-1)
Research Program(s):
  1. 1111 - Effective System Transformation Pathways (POF4-111) (POF4-111)
  2. 1112 - Societally Feasible Transformation Pathways (POF4-111) (POF4-111)

Appears in the scientific report 2025
Database coverage:
Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; SCOPUS ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > ICE > ICE-2
Institute Collections > ICE > ICE-1
Workflow collections > Public records
Workflow collections > Publication Charges
Publications database
Open Access
 Record created 2025-10-09, last modified 2025-12-17
Similar records


OpenAccess:
Download fulltext PDF
Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)
JuSER :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.7 | join2_v2512
Maintained by juser@fz-juelich.de

Impressum | Data Privacy Policy
This site is also available in the following languages:
Deutsch  English