{"id":"https://openalex.org/W2950978016","doi":"https://doi.org/10.1109/ijcnn.2019.8852411","title":"Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs)","display_name":"Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs)","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2950978016","doi":"https://doi.org/10.1109/ijcnn.2019.8852411","mag":"2950978016"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.05767","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064990917","display_name":"Chanachok Chokwitthaya","orcid":"https://orcid.org/0000-0002-3285-0582"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chanachok Chokwitthaya","raw_affiliation_strings":["Department of Construction Management, Louisiana State University, Baton Rouge, USA","Louisiana State University"],"affiliations":[{"raw_affiliation_string":"Department of Construction Management, Louisiana State University, Baton Rouge, USA","institution_ids":["https://openalex.org/I121820613"]},{"raw_affiliation_string":"Louisiana State University","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053772602","display_name":"Edward Collier","orcid":null},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward Collier","raw_affiliation_strings":["Department of Computer Science, Louisiana State University, Baton Rouge, USA","Department of Computer Science, Louisiana State University, Baton Rouge, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Louisiana State University, Baton Rouge, USA","institution_ids":["https://openalex.org/I121820613"]},{"raw_affiliation_string":"Department of Computer Science, Louisiana State University, Baton Rouge, USA#TAB#","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053311132","display_name":"Yimin Zhu","orcid":"https://orcid.org/0000-0002-3871-4733"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimin Zhu","raw_affiliation_strings":["Department of Construction Management, Louisiana State University, Baton Rouge, USA","[Department of Construction Management, Louisiana State University, Baton Rouge, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Construction Management, Louisiana State University, Baton Rouge, USA","institution_ids":["https://openalex.org/I121820613"]},{"raw_affiliation_string":"[Department of Construction Management, Louisiana State University, Baton Rouge, USA]","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101963514","display_name":"Supratik Mukhopadhyay","orcid":"https://orcid.org/0000-0003-0839-1133"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Supratik Mukhopadhyay","raw_affiliation_strings":["Department of Computer Science, Louisiana State University, Baton Rouge, USA","Department of Computer Science, Louisiana State University, Baton Rouge, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Louisiana State University, Baton Rouge, USA","institution_ids":["https://openalex.org/I121820613"]},{"raw_affiliation_string":"Department of Computer Science, Louisiana State University, Baton Rouge, USA#TAB#","institution_ids":["https://openalex.org/I121820613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064990917"],"corresponding_institution_ids":["https://openalex.org/I121820613"],"apc_list":null,"apc_paid":null,"fwci":0.3253,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62917768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9936000108718872,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9936000108718872,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9156000018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8132706880569458},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.697068452835083},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5771474242210388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5641981363296509},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5572242140769958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4837334454059601},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37016624212265015},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3243984580039978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132706880569458},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.697068452835083},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5771474242210388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5641981363296509},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5572242140769958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4837334454059601},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37016624212265015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3243984580039978}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.05767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.05767","pdf_url":"https://arxiv.org/pdf/1906.05767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.lsu.edu:construction_management_pubs-1547","is_oa":true,"landing_page_url":"https://repository.lsu.edu/construction_management_pubs/547","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"},{"id":"doi:10.48550/arxiv.1906.05767","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.05767","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2950978016","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.05767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.05767","pdf_url":"https://arxiv.org/pdf/1906.05767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1275851774","display_name":null,"funder_award_id":"1640818","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2950978016.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1575431606","https://openalex.org/W1884775668","https://openalex.org/W1965154918","https://openalex.org/W1980091084","https://openalex.org/W1989640428","https://openalex.org/W1993273815","https://openalex.org/W1998808035","https://openalex.org/W2003745277","https://openalex.org/W2011561124","https://openalex.org/W2020734519","https://openalex.org/W2040661936","https://openalex.org/W2060586407","https://openalex.org/W2061129415","https://openalex.org/W2079167243","https://openalex.org/W2079422603","https://openalex.org/W2082285877","https://openalex.org/W2099471712","https://openalex.org/W2122825543","https://openalex.org/W2125389028","https://openalex.org/W2152811279","https://openalex.org/W2155710079","https://openalex.org/W2170242066","https://openalex.org/W2173520492","https://openalex.org/W2187159749","https://openalex.org/W2211843587","https://openalex.org/W2221739275","https://openalex.org/W2239494658","https://openalex.org/W2241388696","https://openalex.org/W2295336003","https://openalex.org/W2298992465","https://openalex.org/W2305988415","https://openalex.org/W2313355474","https://openalex.org/W2515013069","https://openalex.org/W2546066744","https://openalex.org/W2549237652","https://openalex.org/W2755214513","https://openalex.org/W2766899523","https://openalex.org/W2884224867","https://openalex.org/W2895447290","https://openalex.org/W2912459545","https://openalex.org/W2919115771","https://openalex.org/W2963470893","https://openalex.org/W2963592600","https://openalex.org/W4252026235","https://openalex.org/W6649863312","https://openalex.org/W6678815747","https://openalex.org/W6683243630","https://openalex.org/W6685352114","https://openalex.org/W6687007301","https://openalex.org/W6690281514","https://openalex.org/W6729001083","https://openalex.org/W6755633275","https://openalex.org/W6979747374"],"related_works":["https://openalex.org/W2099900754","https://openalex.org/W2551243928","https://openalex.org/W2951457852","https://openalex.org/W2769681430","https://openalex.org/W2999491213","https://openalex.org/W3160685084","https://openalex.org/W2016341405","https://openalex.org/W2106009437","https://openalex.org/W2807952920","https://openalex.org/W1994765295","https://openalex.org/W3126394166","https://openalex.org/W2063180038","https://openalex.org/W2143685557","https://openalex.org/W2964729668","https://openalex.org/W2615739520","https://openalex.org/W2956686453","https://openalex.org/W1554264838","https://openalex.org/W3102459424","https://openalex.org/W2293082427","https://openalex.org/W2064762483"],"abstract_inverted_index":{"Building":[0],"performance":[1,48,173],"discrepancies":[2,67],"between":[3],"building":[4,47],"design":[5,40],"and":[6,23,68],"operation":[7],"are":[8,41,112,122,153],"one":[9],"of":[10,73,128,181,189],"the":[11,30,66,70,179,182],"causes":[12],"that":[13,91,161],"lead":[14],"many":[15],"new":[16,39,105],"designs":[17],"fail":[18],"to":[19,29,37,101,114,124,149,170],"achieve":[20],"their":[21],"goals":[22],"objectives.":[24],"A":[25],"main":[26],"factor":[27],"contributing":[28],"discrepancy":[31],"is":[32,140],"occupant":[33,99,134],"behaviors.":[34,119,135],"Occupants":[35],"responding":[36],"a":[38,78],"influenced":[42],"by":[43,85],"several":[44],"factors.":[45],"Existing":[46],"models":[49,84],"(BPMs)":[50],"ignore":[51],"or":[52],"partially":[53],"address":[54],"those":[55],"factors":[56,103],"(called":[57],"contextual":[58,102],"factors)":[59],"while":[60],"developing":[61],"BPMs.":[62],"To":[63],"potentially":[64],"reduce":[65],"improve":[69],"prediction":[71,187],"accuracy":[72,188],"BPMs,":[74],"this":[75],"paper":[76],"proposes":[77],"computational":[79,183],"framework":[80,184],"for":[81,185],"learning":[82],"mixture":[83],"using":[86],"Generative":[87],"Adversarial":[88],"Networks":[89],"(GANs)":[90],"appropriately":[92],"combining":[93],"existing":[94,129,166],"BPMs":[95,130,163,167,190],"with":[96,131,168],"knowledge":[97,132],"on":[98,117,133],"behaviors":[100,152],"in":[104],"designs.":[106],"Immersive":[107],"virtual":[108],"environments":[109],"(IVEs)":[110],"experiments":[111,147],"used":[113,123],"acquire":[115],"data":[116],"such":[118],"Performance":[120],"targets":[121],"guide":[125],"appropriate":[126],"combination":[127],"The":[136,158,175],"resulting":[137],"model":[138],"obtained":[139],"called":[141],"an":[142],"augmented":[143,162],"BPM.":[144],"Two":[145],"different":[146],"related":[148],"occupants":[150],"lighting":[151],"shown":[154],"as":[155],"case":[156,176],"study.":[157],"results":[159],"reveal":[160],"significantly":[164],"outperformed":[165],"respect":[169],"achieving":[171],"specified":[172],"targets.":[174],"study":[177],"confirmed":[178],"potential":[180],"improving":[186],"during":[191],"design.":[192]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}