date: 2025-09-26T07:23:02Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Revealing drivers of green technology adoption through explainable Artificial Intelligence xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Advances in Applied Energy, 20 (2025) 100242. doi:10.1016/j.adapen.2025.100242 language: en-US dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:docinfo:custom:CreationDate--Text: 26th September 2025 pdf:encrypted: false dc:title: Revealing drivers of green technology adoption through explainable Artificial Intelligence modified: 2025-09-26T07:23:02Z cp:subject: Advances in Applied Energy, 20 (2025) 100242. doi:10.1016/j.adapen.2025.100242 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: Advances in Applied Energy, 20 (2025) 100242. doi:10.1016/j.adapen.2025.100242 pdf:docinfo:creator: Dorothea Kistinger meta:author: Maurizio Titz meta:creation-date: 2025-09-26T06:12:41Z created: 2025-09-26T06:12:41Z access_permission:extract_for_accessibility: true Creation-Date: 2025-09-26T06:12:41Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 7.0.1 pdf:docinfo:custom:doi: 10.1016/j.adapen.2025.100242 Author: Maurizio Titz producer: Acrobat Distiller 8.1.0 (Windows) pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) CreationDate--Text: 26th September 2025 doi: 10.1016/j.adapen.2025.100242 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Advances in Applied Energy, 20 (2025) 100242. doi:10.1016/j.adapen.2025.100242 Keywords: Diffusion of innovations,Battery electric vehicles,Photovoltaics,Explainable Artificial Intelligence access_permission:modify_annotations: true dc:creator: Maurizio Titz description: Advances in Applied Energy, 20 (2025) 100242. doi:10.1016/j.adapen.2025.100242 dcterms:created: 2025-09-26T06:12:41Z Last-Modified: 2025-09-26T07:23:02Z dcterms:modified: 2025-09-26T07:23:02Z title: Revealing drivers of green technology adoption through explainable Artificial Intelligence xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2025-09-26T07:23:02Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: Diffusion of innovations,Battery electric vehicles,Photovoltaics,Explainable Artificial Intelligence pdf:docinfo:modified: 2025-09-26T07:23:02Z meta:save-date: 2025-09-26T07:23:02Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Maurizio Titz dc:language: en-US dc:subject: Diffusion of innovations,Battery electric vehicles,Photovoltaics,Explainable Artificial Intelligence pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0.1 access_permission:assemble_document: true xmpTPg:NPages: 13 pdf:charsPerPage: 5354 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: Diffusion of innovations,Battery electric vehicles,Photovoltaics,Explainable Artificial Intelligence access_permission:can_modify: true pdf:docinfo:created: 2025-09-26T06:12:41Z