{"id":"https://openalex.org/W3048265338","doi":"https://doi.org/10.1145/3408308.3427617","title":"One for Many","display_name":"One for Many","publication_year":2020,"publication_date":"2020-11-18","ids":{"openalex":"https://openalex.org/W3048265338","doi":"https://doi.org/10.1145/3408308.3427617","mag":"3048265338"},"language":"en","primary_location":{"id":"doi:10.1145/3408308.3427617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408308.3427617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.03625","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101802326","display_name":"Shichao Xu","orcid":"https://orcid.org/0000-0002-9026-6245"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shichao Xu","raw_affiliation_strings":["Northwestern University, Evanston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408475","display_name":"Yixuan Wang","orcid":"https://orcid.org/0000-0003-0847-8570"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixuan Wang","raw_affiliation_strings":["Northeastern University, Boston, USA","Northwestern University, Evanston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northwestern University, Evanston, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Northeastern University, Boston, USA","Northwestern University, Evanston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northwestern University, Evanston, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031520161","display_name":"Zheng O\u2019Neill","orcid":"https://orcid.org/0000-0002-8839-7174"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng O'Neill","raw_affiliation_strings":["Texas A&M University College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020896290","display_name":"Qi Zhu","orcid":"https://orcid.org/0000-0002-7700-4099"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Zhu","raw_affiliation_strings":["Northwestern University, Evanston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5622,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.94880287,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"230","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9984999895095825,"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":0.9984999895095825,"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/T11529","display_name":"Refrigeration and Air Conditioning Technologies","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T11371","display_name":"Wind and Air Flow Studies","score":0.9154999852180481,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hvac","display_name":"HVAC","score":0.8267173767089844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595908403396606},{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.6444757580757141},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6027331352233887},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5719535946846008},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5356138944625854},{"id":"https://openalex.org/keywords/building-automation","display_name":"Building automation","score":0.5191656351089478},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4849017262458801},{"id":"https://openalex.org/keywords/building-management-system","display_name":"Building management system","score":0.4838029742240906},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.46021923422813416},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.45935913920402527},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4378582537174225},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.431963711977005},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4274093508720398},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4200117290019989},{"id":"https://openalex.org/keywords/thermal-comfort","display_name":"Thermal comfort","score":0.41784366965293884},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32794949412345886},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3042092025279999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25418415665626526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23737788200378418}],"concepts":[{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.8267173767089844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595908403396606},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.6444757580757141},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6027331352233887},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5719535946846008},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5356138944625854},{"id":"https://openalex.org/C83931994","wikidata":"https://www.wikidata.org/wiki/Q1149653","display_name":"Building automation","level":2,"score":0.5191656351089478},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4849017262458801},{"id":"https://openalex.org/C106527866","wikidata":"https://www.wikidata.org/wiki/Q1489497","display_name":"Building management system","level":3,"score":0.4838029742240906},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.46021923422813416},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.45935913920402527},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4378582537174225},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.431963711977005},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4274093508720398},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4200117290019989},{"id":"https://openalex.org/C133913538","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal comfort","level":2,"score":0.41784366965293884},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32794949412345886},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3042092025279999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25418415665626526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23737788200378418},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3408308.3427617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408308.3427617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.03625","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.03625","pdf_url":"https://arxiv.org/pdf/2008.03625","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.03625","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.03625","pdf_url":"https://arxiv.org/pdf/2008.03625","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":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G181410862","display_name":null,"funder_award_id":"1834701","funder_id":"https://openalex.org/F4320322898","funder_display_name":"Shota Rustaveli National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322898","display_name":"Shota Rustaveli National Science Foundation","ror":"https://ror.org/00xc87681"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W101507059","https://openalex.org/W1209078686","https://openalex.org/W1460713219","https://openalex.org/W1522301498","https://openalex.org/W1598140581","https://openalex.org/W1612565963","https://openalex.org/W1677182931","https://openalex.org/W1955461630","https://openalex.org/W1965061618","https://openalex.org/W2019348145","https://openalex.org/W2114519460","https://openalex.org/W2121305631","https://openalex.org/W2145339207","https://openalex.org/W2159200188","https://openalex.org/W2164861471","https://openalex.org/W2176075926","https://openalex.org/W2273355447","https://openalex.org/W2292753902","https://openalex.org/W2527328725","https://openalex.org/W2605368761","https://openalex.org/W2625874945","https://openalex.org/W2788862220","https://openalex.org/W2902257695","https://openalex.org/W2909510634","https://openalex.org/W2910855614","https://openalex.org/W2921955147","https://openalex.org/W2945782956","https://openalex.org/W2949600457","https://openalex.org/W2963049105","https://openalex.org/W2963376229","https://openalex.org/W2964121744","https://openalex.org/W2964229770","https://openalex.org/W2964871615","https://openalex.org/W2981030070","https://openalex.org/W2997051579","https://openalex.org/W3010778215","https://openalex.org/W3018700377","https://openalex.org/W3023669592","https://openalex.org/W3037631072","https://openalex.org/W3122800106","https://openalex.org/W4232335426","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2357294886","https://openalex.org/W3038059713","https://openalex.org/W4281749375","https://openalex.org/W2079922090","https://openalex.org/W2017084161","https://openalex.org/W4388647520","https://openalex.org/W2749654269","https://openalex.org/W2538009942","https://openalex.org/W2326668440","https://openalex.org/W2329485921"],"abstract_inverted_index":{"The":[0,220],"design":[1,165],"of":[2,20,166,198,207,226],"building":[3,21,45,66,148,155],"heating,":[4],"ventilation,":[5],"and":[6,24,30,55,62,68,159,179,211,216,237],"air":[7,213],"conditioning":[8],"(HVAC)":[9],"system":[10],"is":[11,108],"critically":[12],"important,":[13],"as":[14,80],"it":[15,113],"accounts":[16],"for":[17,44,64,70,145,152,188],"around":[18],"half":[19],"energy":[22,235],"consumption":[23],"directly":[25],"affects":[26],"occupant":[27],"comfort,":[28],"productivity,":[29],"health.":[31],"Traditional":[32],"HVAC":[33,142],"control":[34,67,88],"methods":[35],"are":[36,56],"typically":[37],"based":[38,129],"on":[39,195],"creating":[40],"explicit":[41],"physical":[42,92],"models":[43,93],"thermal":[46,208],"dynamics,":[47],"which":[48],"often":[49],"require":[50],"significant":[51],"effort":[52,158],"to":[53,58,100,115,131,149],"develop":[54],"difficult":[57],"achieve":[59],"sufficient":[60],"accuracy":[61],"efficiency":[63],"runtime":[65],"scalability":[69],"field":[71],"implementations.":[72],"Recently,":[73],"deep":[74],"reinforcement":[75],"learning":[76,106,128],"(DRL)":[77],"has":[78],"emerged":[79],"a":[81,97,125,140,150,171,180,196],"promising":[82],"data-driven":[83,105],"method":[84],"that":[85,175,183],"provides":[86],"good":[87],"performance":[89],"without":[90],"analyzing":[91],"at":[94],"runtime.":[95],"However,":[96],"major":[98],"challenge":[99],"DRL":[101],"(and":[102],"many":[103],"other":[104],"methods)":[107],"the":[109,117,146,153,164,224,232],"long":[110],"training":[111,233],"time":[112],"takes":[114],"reach":[116],"desired":[118],"performance.":[119],"In":[120],"this":[121,133],"work,":[122],"we":[123],"present":[124],"novel":[126],"transfer":[127,139,199],"approach":[130,136,228],"overcome":[132],"challenge.":[134],"Our":[135],"can":[137,184],"effectively":[138],"DRL-based":[141],"controller":[143,151,169],"trained":[144,187],"source":[147],"target":[154],"with":[156,203],"minimal":[157],"improved":[160],"performance,":[161],"by":[162],"decomposing":[163],"neural":[167],"network":[168,174,182],"into":[170],"transferable":[172],"front-end":[173],"captures":[176],"building-agnostic":[177],"behavior":[178],"back-end":[181],"be":[185],"efficiently":[186],"each":[189],"specific":[190],"building.":[191],"We":[192],"conducted":[193],"experiments":[194],"variety":[197],"scenarios":[200],"between":[201],"buildings":[202],"different":[204],"sizes,":[205],"numbers":[206],"zones,":[209],"materials":[210],"layouts,":[212],"conditioner":[214],"types,":[215],"ambient":[217],"weather":[218],"conditions.":[219],"experimental":[221],"results":[222],"demonstrated":[223],"effectiveness":[225],"our":[227],"in":[229],"significantly":[230],"reducing":[231],"time,":[234],"cost,":[236],"temperature":[238],"violations.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":17}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2020-08-13T00:00:00"}