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From roofs to renewables : Deep learning and geographic information systems insights into a comprehensive urban solar photovoltaic assessment for Stonehaven

dc.contributor.authorGui, Baoling
dc.contributor.authorSam, Lydia
dc.contributor.authorBhardwaj, Anshuman
dc.contributor.institutionUniversity of Aberdeen.Geosciencesen
dc.contributor.institutionUniversity of Aberdeen.Cryosphere and Climate Change Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Planetary Sciencesen
dc.date.accessioned2024-08-06T08:36:01Z
dc.date.available2024-08-06T08:36:01Z
dc.date.issued2024-09
dc.description.statusPeer revieweden
dc.format.extent19
dc.format.extent30717070
dc.identifier292274632
dc.identifier9193900d-83bb-4e93-83ed-89d230fa12a0
dc.identifier.citationGui, B, Sam, L & Bhardwaj, A 2024, 'From roofs to renewables : Deep learning and geographic information systems insights into a comprehensive urban solar photovoltaic assessment for Stonehaven', Energy 360, vol. 1, 100006. https://doi.org/10.1016/j.energ.2024.100006en
dc.identifier.doi10.1016/j.energ.2024.100006
dc.identifier.issn2950-4872
dc.identifier.otherORCID: /0000-0002-2502-6384/work/165362775
dc.identifier.urihttps://hdl.handle.net/2164/23976
dc.identifier.vol1en
dc.language.isoeng
dc.relation.ispartofEnergy 360en
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subjectSDG 11 - Sustainable Cities and Communitiesen
dc.subjectUrban roof extractionen
dc.subjectPV potentialen
dc.subjectDeep learningen
dc.subjectDigital surface modelen
dc.subjectGeographic information systemsen
dc.subjectReturn-on-investment perioden
dc.subjectG Geography (General)en
dc.subject.lccG1en
dc.titleFrom roofs to renewables : Deep learning and geographic information systems insights into a comprehensive urban solar photovoltaic assessment for Stonehavenen
dc.typeJournal articleen

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