{"id":"https://openalex.org/W7165121930","doi":"https://doi.org/10.1145/3744256.3812572","title":"Scan2UBEM: An AI-driven End-to-End Pipeline Towards Automated Urban Building Energy Modeling from 3D Scans","display_name":"Scan2UBEM: An AI-driven End-to-End Pipeline Towards Automated Urban Building Energy Modeling from 3D Scans","publication_year":2026,"publication_date":"2026-06-19","ids":{"openalex":"https://openalex.org/W7165121930","doi":"https://doi.org/10.1145/3744256.3812572"},"language":null,"primary_location":{"id":"doi:10.1145/3744256.3812572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744256.3812572","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3744256.3812572","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138927467","display_name":"Wei Wu","orcid":"https://orcid.org/0009-0008-0684-8375"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":"https://orcid.org/0009-0008-0684-8375","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067770953","display_name":"Qingchun Li","orcid":"https://orcid.org/0000-0003-0769-0238"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingchun Li","raw_affiliation_strings":["Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":"https://orcid.org/0000-0003-0769-0238","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016995269","display_name":"Yu Hou","orcid":"https://orcid.org/0000-0002-9822-244X"},"institutions":[{"id":"https://openalex.org/I19833938","display_name":"Western New England University","ror":"https://ror.org/007cnf143","country_code":"US","type":"education","lineage":["https://openalex.org/I19833938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Hou","raw_affiliation_strings":["Western New England University, Springfield, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-9822-244X","affiliations":[{"raw_affiliation_string":"Western New England University, Springfield, Massachusetts, USA","institution_ids":["https://openalex.org/I19833938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89975497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.15970000624656677,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.15970000624656677,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.09929999709129333,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.08760000020265579,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6248999834060669},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4077000021934509},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3946000039577484},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.3312000036239624},{"id":"https://openalex.org/keywords/building-energy-simulation","display_name":"Building energy simulation","score":0.3163999915122986},{"id":"https://openalex.org/keywords/model-building","display_name":"Model building","score":0.2759000062942505}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6248999834060669},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39660000801086426},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.37209999561309814},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C2776409380","wikidata":"https://www.wikidata.org/wiki/Q18205688","display_name":"Building energy simulation","level":4,"score":0.3163999915122986},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3070000112056732},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29490000009536743},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27880001068115234},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3744256.3812572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744256.3812572","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3744256.3812572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744256.3812572","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8009237051010132}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2810532979","https://openalex.org/W2906902094","https://openalex.org/W3024252046","https://openalex.org/W3083964105","https://openalex.org/W3085224744","https://openalex.org/W3112161988","https://openalex.org/W4224079366","https://openalex.org/W4385579802","https://openalex.org/W4386534555","https://openalex.org/W4390748878","https://openalex.org/W4396650011","https://openalex.org/W4399200658","https://openalex.org/W4407164628","https://openalex.org/W4407308429","https://openalex.org/W4407626109","https://openalex.org/W4409862585","https://openalex.org/W4412452351","https://openalex.org/W4412706848","https://openalex.org/W4413626737","https://openalex.org/W4414984891","https://openalex.org/W4415219308","https://openalex.org/W4415340520","https://openalex.org/W4415530517","https://openalex.org/W4416432328","https://openalex.org/W4416706022","https://openalex.org/W4417465952","https://openalex.org/W6910577262"],"related_works":[],"abstract_inverted_index":{"Urban":[0],"Building":[1],"Energy":[2],"Modeling":[3],"(UBEM)":[4],"is":[5],"a":[6,123,168],"critical":[7],"tool":[8],"for":[9],"analyzing":[10],"energy":[11,24,74,117,135,143,153],"consumption":[12,118],"and":[13,28,86,92,154,170],"supporting":[14],"sustainable":[15],"planning":[16],"in":[17,141],"cities.":[18],"However,":[19],"constructing":[20],"simulation-ready":[21,73],"urban":[22],"building":[23,70],"models":[25,75,149,179],"remains":[26],"labor-intensive":[27],"difficult":[29],"to":[30,49,97,176],"scale.":[31],"Existing":[32],"UBEM":[33],"workflows":[34],"rely":[35],"heavily":[36],"on":[37],"manual":[38],"modeling":[39],"or":[40],"coarse":[41],"archetype":[42],"assumptions.":[43],"This":[44],"workflow":[45],"limits":[46],"their":[47],"ability":[48],"exploit":[50],"the":[51],"growing":[52],"availability":[53],"of":[54,89,159],"high-resolution":[55],"3D":[56,68,174],"sensing":[57],"data.":[58],"We":[59,107,120],"present":[60],"Scan2UBEM,":[61],"an":[62],"AI-assisted,":[63],"end-to-end":[64],"pipeline":[65],"that":[66,122,165],"transforms":[67],"scan-derived":[69],"representations":[71],"into":[72],"with":[76,115,184],"expert-in-the-loop":[77],"refinement.":[78],"Scan2UBEM":[79,109,148,166],"integrates":[80],"geometric":[81],"parameter":[82],"extraction,":[83],"semantic":[84],"inference,":[85],"automated":[87,105],"generation":[88],"non-geometric":[90],"parameters,":[91],"supports":[93],"lightweight":[94],"expert":[95,186],"intervention":[96],"correct":[98],"implausible":[99],"operational":[100],"assumptions":[101],"produced":[102],"by":[103,180],"fully":[104],"inference.":[106],"evaluate":[108],"using":[110],"two":[111],"real":[112,116],"campus":[113],"buildings":[114],"records.":[119],"show":[121],"purely":[124],"automated,":[125],"Large":[126],"Language":[127],"Modeling-generated":[128],"model":[129],"exhibits":[130],"large":[131],"deviations":[132],"from":[133,173],"measured":[134,160],"use":[136,144],"(e.g.,":[137],"over":[138],"40%":[139],"error":[140],"site":[142,152],"intensity(EUI)),":[145],"whereas":[146],"expert-refined":[147],"achieve":[150],"total":[151],"EUI":[155],"errors":[156],"within":[157],"10%":[158],"values.":[161],"These":[162],"results":[163],"demonstrate":[164],"provides":[167],"robust":[169],"practical":[171],"pathway":[172],"scans":[175],"UBEM-ready":[177],"simulation":[178],"combining":[181],"AI-assisted":[182],"automation":[183],"minimal":[185],"intervention.":[187]},"counts_by_year":[],"updated_date":"2026-06-20T20:08:15.867695","created_date":"2026-06-19T00:00:00"}