{"id":"https://openalex.org/W3217060725","doi":"https://doi.org/10.1145/3486611.3492412","title":"Containerized framework for building control performance comparisons","display_name":"Containerized framework for building control performance comparisons","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W3217060725","doi":"https://doi.org/10.1145/3486611.3492412","mag":"3217060725"},"language":"en","primary_location":{"id":"doi:10.1145/3486611.3492412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486611.3492412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","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/A5102860252","display_name":"Yangyang Fu","orcid":"https://orcid.org/0000-0003-3878-9935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yangyang Fu","raw_affiliation_strings":["Texas A&M University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802326","display_name":"Shichao Xu","orcid":"https://orcid.org/0000-0002-9026-6245"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shichao Xu","raw_affiliation_strings":["Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020896290","display_name":"Qi Zhu","orcid":"https://orcid.org/0000-0002-7700-4099"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Zhu","raw_affiliation_strings":["Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031520161","display_name":"Zheng O\u2019Neill","orcid":"https://orcid.org/0000-0002-8839-7174"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng O'Neill","raw_affiliation_strings":["Texas A&M University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4323,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90660356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"276","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9995999932289124,"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":0.9995999932289124,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10603","display_name":"Smart Grid Energy Management","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.6929519176483154},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.650656521320343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6465866565704346},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5872417092323303},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5786239504814148},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5636066794395447},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5453763008117676},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48332881927490234},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4667796194553375},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4154045581817627},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.39026930928230286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3434077501296997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34334689378738403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2730105519294739},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09600543975830078}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6929519176483154},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.650656521320343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6465866565704346},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5872417092323303},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5786239504814148},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5636066794395447},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5453763008117676},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48332881927490234},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4667796194553375},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4154045581817627},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.39026930928230286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3434077501296997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34334689378738403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2730105519294739},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09600543975830078},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486611.3492412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486611.3492412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8299999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W245067504","https://openalex.org/W1488604512","https://openalex.org/W1996058353","https://openalex.org/W2006392151","https://openalex.org/W2011938518","https://openalex.org/W2050856428","https://openalex.org/W2108152153","https://openalex.org/W2109353146","https://openalex.org/W2158782408","https://openalex.org/W2326454698","https://openalex.org/W2515771614","https://openalex.org/W2625874945","https://openalex.org/W2740213442","https://openalex.org/W2842089854","https://openalex.org/W2957897705","https://openalex.org/W2963662064","https://openalex.org/W2963994199","https://openalex.org/W2964437279","https://openalex.org/W2972720556","https://openalex.org/W3048265338","https://openalex.org/W3089328586","https://openalex.org/W3101479300","https://openalex.org/W3181701648","https://openalex.org/W3202211111","https://openalex.org/W3215436808","https://openalex.org/W4288086182"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2906246018"],"abstract_inverted_index":{"While":[0],"both":[1,60,89],"model":[2],"predictive":[3],"control":[4,10,52,64,80,92,106,112],"(MPC)":[5],"and":[6,50,62,93,114,136,151,165],"deep":[7,94],"reinforcement":[8],"learning":[9],"(DRL)":[11],"have":[12],"shown":[13],"significant":[14],"energy":[15,163],"cost":[16,164],"savings":[17],"for":[18,46,78,104,119],"building":[19,48,79,102,121,128,142],"systems,":[20],"there":[21],"is":[22,38,143],"a":[23,42,73,84,100,115,139,174,179],"lack":[24,40],"of":[25,41,134,161],"in-depth":[26],"quantitative":[27],"study":[28],"on":[29,87,138],"the":[30,33,39,47,51,105,120,146,155],"comparison":[31,133],"between":[32],"two.":[34],"One":[35],"major":[36],"obstacle":[37],"holistic":[43],"evaluation":[44],"environment":[45,103],"community":[49,53,107,122],"to":[54,108,123],"integrate":[55],"their":[56,125],"expertise":[57],"in":[58,145,159],"studying":[59],"model-based":[61,91],"learning-based":[63,95],"methods.":[65],"To":[66],"address":[67],"this":[68,70],"challenge,":[69],"paper":[71],"presents":[72],"scalable":[74],"containerized":[75],"software":[76,117],"framework":[77,98],"performance":[81,132],"comparisons,":[82],"with":[83,178],"special":[85],"focus":[86],"enabling":[88],"optimal":[90],"control.":[96],"The":[97],"provides":[99],"standardized":[101],"benchmark":[109],"different":[110],"advanced":[111],"strategies,":[113],"flexible":[116],"architecture":[118],"standardize":[124],"own":[126],"customized":[127],"environments.":[129],"A":[130],"preliminary":[131],"MPC":[135,150,172],"DRL":[137,152,169],"single":[140],"zone":[141],"performed":[144],"case":[147],"study.":[148],"Both":[149],"can":[153,170],"outperform":[154,171],"rule-based":[156],"baseline":[157],"controllers":[158],"terms":[160],"reducing":[162],"maintaining":[166],"thermal":[167],"discomfort.":[168],"after":[173],"long":[175],"training":[176],"time":[177],"predefined":[180],"reward":[181],"policy.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}