{"id":"https://openalex.org/W4395685002","doi":"https://doi.org/10.1145/3625687.3628403","title":"Poster Abstract: Data Efficient HVAC Control using Gaussian Process-based Reinforcement Learning","display_name":"Poster Abstract: Data Efficient HVAC Control using Gaussian Process-based Reinforcement Learning","publication_year":2023,"publication_date":"2023-11-12","ids":{"openalex":"https://openalex.org/W4395685002","doi":"https://doi.org/10.1145/3625687.3628403"},"language":"en","primary_location":{"id":"doi:10.1145/3625687.3628403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628403","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628403?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628403?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069388053","display_name":"Zhiyu An","orcid":"https://orcid.org/0009-0000-1627-4194"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyu An","raw_affiliation_strings":["University of California, Merced, Merced, United States of America"],"raw_orcid":"https://orcid.org/0009-0000-1627-4194","affiliations":[{"raw_affiliation_string":"University of California, Merced, Merced, United States of America","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037154708","display_name":"Xianzhong Ding","orcid":"https://orcid.org/0000-0001-6114-2801"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianzhong Ding","raw_affiliation_strings":["University of California, Merced, Merced, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-6114-2801","affiliations":[{"raw_affiliation_string":"University of California, Merced, Merced, United States of America","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075544576","display_name":"Wan Du","orcid":"https://orcid.org/0000-0002-2732-6954"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wan Du","raw_affiliation_strings":["University of California, Merced, Merced, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-2732-6954","affiliations":[{"raw_affiliation_string":"University of California, Merced, Merced, United States of America","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I156087764"],"apc_list":null,"apc_paid":null,"fwci":0.5902,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72499338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.829200029373169,"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":0.829200029373169,"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/hvac","display_name":"HVAC","score":0.7264987230300903},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7151522636413574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013750076293945},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5907012820243835},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5236170887947083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43718069791793823},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4154001474380493},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.41351208090782166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3796022832393646},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3700515329837799},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13137269020080566},{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.0693717896938324},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.06238734722137451}],"concepts":[{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.7264987230300903},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7151522636413574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013750076293945},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5907012820243835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5236170887947083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43718069791793823},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4154001474380493},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.41351208090782166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3796022832393646},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3700515329837799},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13137269020080566},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.0693717896938324},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06238734722137451},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625687.3628403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628403","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628403?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625687.3628403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628403","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628403?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395685002.pdf","grobid_xml":"https://content.openalex.org/works/W4395685002.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4317926921"],"related_works":["https://openalex.org/W2112866972","https://openalex.org/W4240233711","https://openalex.org/W2900606913","https://openalex.org/W4320003279","https://openalex.org/W2326910963","https://openalex.org/W3111008797","https://openalex.org/W4287552621","https://openalex.org/W4376649626","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Model-based":[0],"Reinforcement":[1],"Learning":[2],"(MBRL)":[3],"has":[4],"been":[5],"widely":[6],"studied":[7],"for":[8,77,92],"energy-efficient":[9],"control":[10,56,101,108],"of":[11,21,25,33,53,61,114],"the":[12,22,26,30,71,82,100,112,139],"Heating,":[13],"Ventilation,":[14],"and":[15,131],"Air":[16],"Conditioning":[17],"(HVAC)":[18],"systems.":[19],"One":[20],"fundamental":[23],"issues":[24],"current":[27],"approaches":[28],"is":[29],"large":[31],"amount":[32],"data":[34,83,125],"required":[35],"to":[36],"train":[37],"an":[38],"accurate":[39],"building":[40],"system":[41,51],"dynamics":[42,72],"model.":[43],"In":[44],"this":[45],"work,":[46],"we":[47,85,103],"developed":[48],"a":[49,66,87,105,147],"data-efficient":[50],"capable":[52],"excellent":[54,124],"HVAC":[55],"performance":[57],"with":[58,138],"only":[59,144],"days":[60],"training":[62,149],"data.":[63],"We":[64],"use":[65],"Gaussian":[67],"Process":[68],"(GP)":[69],"as":[70],"model":[73,106],"which":[74],"provides":[75],"uncertainty":[76,98,113],"each":[78],"prediction.":[79,116],"To":[80,96],"improve":[81],"efficiency,":[84,126],"designed":[86,104],"meta":[88],"kernel":[89,94],"learning":[90],"technique":[91],"GP":[93],"selection.":[95],"incorporate":[97],"in":[99],"decisions,":[102],"predictive":[107],"method":[109,122],"that":[110,120],"considers":[111],"every":[115],"Simulation":[117],"experiments":[118],"show":[119],"our":[121],"achieves":[123],"yielding":[127],"similar":[128],"energy":[129],"savings":[130],"12.07%":[132],"less":[133],"human":[134],"comfort":[135],"violation":[136],"compared":[137],"state-of-the-art":[140],"MBRL":[141],"method,":[142],"while":[143],"trained":[145],"on":[146],"seven-day":[148],"dataset.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}
