{"id":"https://openalex.org/W2974873178","doi":"https://doi.org/10.1109/coase.2019.8843073","title":"A Model-Driven Learning Approach for Predicting the Personalized Dynamic Thermal Comfort in Ordinary Office Environment","display_name":"A Model-Driven Learning Approach for Predicting the Personalized Dynamic Thermal Comfort in Ordinary Office Environment","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2974873178","doi":"https://doi.org/10.1109/coase.2019.8843073","mag":"2974873178"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2019.8843073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8843073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065675742","display_name":"Yadong Zhou","orcid":"https://orcid.org/0000-0003-0345-3518"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Zhou","raw_affiliation_strings":["MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011410644","display_name":"Xukun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xukun Wang","raw_affiliation_strings":["MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067277859","display_name":"Zhanbo Xu","orcid":"https://orcid.org/0000-0002-8364-0753"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanbo Xu","raw_affiliation_strings":["MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026796688","display_name":"Ying Su","orcid":"https://orcid.org/0000-0003-2773-1965"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Su","raw_affiliation_strings":["MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101554099","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0002-7600-0934"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101843177","display_name":"Chao Shen","orcid":"https://orcid.org/0000-0002-6959-0569"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Shen","raw_affiliation_strings":["MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE KLINNS Lab of Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE KLINNS Lab of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075845093","display_name":"Xiaohong Guan","orcid":"https://orcid.org/0000-0002-8826-0362"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Guan","raw_affiliation_strings":["Center for Intelligent and Networked Systems (CFINS), Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligent and Networked Systems (CFINS), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"739","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9991000294685364,"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":0.9991000294685364,"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/thermal-comfort","display_name":"Thermal comfort","score":0.8543082475662231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6239784955978394},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5308296084403992},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.45888644456863403},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.4246981143951416},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42394447326660156},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42214399576187134},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4146314859390259},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.32553961873054504},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.32160520553588867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3078298568725586},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2131338119506836},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.088155597448349},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08527055382728577}],"concepts":[{"id":"https://openalex.org/C133913538","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal comfort","level":2,"score":0.8543082475662231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239784955978394},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5308296084403992},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.45888644456863403},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.4246981143951416},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42394447326660156},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42214399576187134},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4146314859390259},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.32553961873054504},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.32160520553588867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3078298568725586},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2131338119506836},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.088155597448349},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08527055382728577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2019.8843073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8843073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1650445574","https://openalex.org/W1966962584","https://openalex.org/W1969585943","https://openalex.org/W2000041175","https://openalex.org/W2061434834","https://openalex.org/W2072608585","https://openalex.org/W2126849655","https://openalex.org/W2146553545","https://openalex.org/W2166681263","https://openalex.org/W2239278662","https://openalex.org/W2560801424","https://openalex.org/W2745541172","https://openalex.org/W2896319217","https://openalex.org/W6690358033"],"related_works":["https://openalex.org/W2354062721","https://openalex.org/W4285814106","https://openalex.org/W2321184784","https://openalex.org/W1970807301","https://openalex.org/W1999827940","https://openalex.org/W2463445987","https://openalex.org/W3175143754","https://openalex.org/W2974873178","https://openalex.org/W36121080","https://openalex.org/W2144780523"],"abstract_inverted_index":{"Occupants'":[0],"thermal":[1,30,54,67,80,180],"comfort":[2,68,81,181],"plays":[3],"a":[4,66,71,91,95,130],"critical":[5],"role":[6],"in":[7,21,28,49,111,128],"the":[8,29,38,43,50,53,78,105,112,138,143,147,153,157,160,168,178],"optimization":[9],"of":[10,52,90,149,167,177],"building":[11],"operation,":[12],"which":[13,32],"has":[14],"thus":[15,134],"attracted":[16],"more":[17,19],"and":[18,26,45,85,94,170,175],"attention":[20],"recent":[22],"years.":[23],"However,":[24],"diversity":[25],"uncertainties":[27],"comfort,":[31],"is":[33,101,133],"caused":[34],"by":[35,70],"not":[36],"only":[37],"physical":[39,92,99,113,158],"environment,":[40],"but":[41],"also":[42],"psychology":[44],"physiology,":[46],"provide":[47],"challenges":[48],"modeling":[51],"comfort.":[55],"In":[56],"this":[57],"paper,":[58],"based":[59,103,136],"on":[60,104,137],"cyber-physical":[61],"system":[62],"framework,":[63],"we":[64],"develop":[65],"model":[69,88,140,162,182],"model-driven":[72,169],"learning":[73,84],"approach":[74],"to":[75,125,141],"dynamically":[76],"predict":[77],"personalized":[79],"through":[82],"online":[83],"computation.":[86],"This":[87],"consists":[89],"part":[93,100,114,132,155],"data-driven":[96,131,154,171],"part.":[97],"The":[98,173],"developed":[102,135,161,179],"traditional":[106],"heat":[107],"balance":[108],"equation.":[109],"Since":[110],"there":[115],"are":[116,123,183],"some":[117],"parameters":[118,145],"(such":[119],"as":[120],"skin":[121],"temperature)":[122],"difficult":[124],"be":[126],"measured":[127],"practice,":[129],"regression":[139],"estimate":[142],"uncertain":[144],"with":[146],"feedback":[148],"occupants.":[150],"By":[151],"integrating":[152],"into":[156],"part,":[159],"could":[163],"take":[164],"both":[165],"advantages":[166],"methods.":[172],"effectiveness":[174],"performance":[176],"demonstrated":[184],"using":[185],"field":[186],"experiments.":[187]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}