{"id":"https://openalex.org/W4388320663","doi":"https://doi.org/10.1145/3600100.3626639","title":"The smart air purifier control strategy based on reinforcement learning for better IAQ and energy efficiency","display_name":"The smart air purifier control strategy based on reinforcement learning for better IAQ and energy efficiency","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4388320663","doi":"https://doi.org/10.1145/3600100.3626639"},"language":"en","primary_location":{"id":"doi:10.1145/3600100.3626639","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600100.3626639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"article","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/A5102831269","display_name":"Wenzhe Shang","orcid":"https://orcid.org/0009-0009-3700-6354"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzhe Shang","raw_affiliation_strings":["Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014924378","display_name":"Xilei Dai","orcid":"https://orcid.org/0000-0003-0903-5341"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xilei Dai","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100396417","display_name":"Junjie Liu","orcid":"https://orcid.org/0000-0001-7060-6663"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Liu","raw_affiliation_strings":["Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102831269"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13734589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"476","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9509000182151794,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9509000182151794,"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"}},{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9057000279426575,"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/air-purifier","display_name":"Air purifier","score":0.8910888433456421},{"id":"https://openalex.org/keywords/indoor-air-quality","display_name":"Indoor air quality","score":0.712807297706604},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6519322395324707},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.645439863204956},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5039426684379578},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.4867999255657196},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4646700322628021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4556600749492645},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4551337957382202},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3166007399559021},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3155856132507324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23200073838233948},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.2102683186531067}],"concepts":[{"id":"https://openalex.org/C2992182192","wikidata":"https://www.wikidata.org/wiki/Q1196206","display_name":"Air purifier","level":3,"score":0.8910888433456421},{"id":"https://openalex.org/C65469","wikidata":"https://www.wikidata.org/wiki/Q905504","display_name":"Indoor air quality","level":2,"score":0.712807297706604},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6519322395324707},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.645439863204956},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5039426684379578},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.4867999255657196},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4646700322628021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4556600749492645},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4551337957382202},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3166007399559021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3155856132507324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23200073838233948},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.2102683186531067},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201289731","wikidata":"https://www.wikidata.org/wiki/Q1172599","display_name":"Inlet","level":2,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3600100.3626639","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600100.3626639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2916986348","display_name":null,"funder_award_id":"No. 2022YFC3702803","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2022341426","https://openalex.org/W2044196293","https://openalex.org/W2139160917","https://openalex.org/W2159200188","https://openalex.org/W2805282101","https://openalex.org/W2887122744","https://openalex.org/W2888368778","https://openalex.org/W2966012238","https://openalex.org/W2973961985","https://openalex.org/W3026124437","https://openalex.org/W3164140864","https://openalex.org/W4280593778"],"related_works":["https://openalex.org/W3007713351","https://openalex.org/W3152688306","https://openalex.org/W4236773375","https://openalex.org/W3215279791","https://openalex.org/W3113650815","https://openalex.org/W3216930973","https://openalex.org/W2288981819","https://openalex.org/W3213002615","https://openalex.org/W4309667762","https://openalex.org/W2981734622"],"abstract_inverted_index":{"PM2.5":[0,13],"has":[1],"negative":[2],"impact":[3],"on":[4],"human":[5],"health.":[6],"Although":[7],"air":[8,34,40,47,78,84],"purifiers":[9,35],"can":[10],"remove":[11],"indoor":[12,39,83],"effectively,":[14],"occupants":[15],"do":[16],"not":[17],"use":[18],"them":[19],"well":[20],"to":[21,28,36,53,74],"achieve":[22,37],"best":[23],"performance.":[24],"It":[25],"is":[26],"important":[27],"develop":[29],"automatic":[30],"control":[31,49,76],"strategy":[32,50],"for":[33],"both":[38],"quality":[41],"and":[42,59],"energy":[43,63,88],"efficiency.":[44],"As":[45],"traditional":[46],"purifier":[48],"cannot":[51],"adapt":[52],"the":[54,68,77],"stochastic":[55],"behavior":[56],"of":[57],"residents":[58],"result":[60],"in":[61],"superfluous":[62],"consumption,":[64],"this":[65],"study":[66],"uses":[67],"deep":[69],"reinforcement":[70],"learning":[71],"(DeepRL)":[72],"approach":[73],"automatically":[75],"purifier,":[79],"which":[80],"provide":[81],"better":[82],"quality(IAQ)":[85],"with":[86],"lower":[87],"consumption.":[89]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}