{"id":"https://openalex.org/W4403922610","doi":"https://doi.org/10.1145/3671127.3699531","title":"A Machine Learning Framework for Optimising Indoor Thermal Comfort and Air Quality through Sensor Data Streams","display_name":"A Machine Learning Framework for Optimising Indoor Thermal Comfort and Air Quality through Sensor Data Streams","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4403922610","doi":"https://doi.org/10.1145/3671127.3699531"},"language":"en","primary_location":{"id":"doi:10.1145/3671127.3699531","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3671127.3699531","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3671127.3699531","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th 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":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3671127.3699531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073527276","display_name":"Chun Wai Chiu","orcid":"https://orcid.org/0000-0002-3157-8943"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Chun Wai Chiu","raw_affiliation_strings":["School of Computing, University of Kent, Canterbury, Kent, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Kent, Canterbury, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061768737","display_name":"Christos Efstratiou","orcid":"https://orcid.org/0000-0001-6288-9579"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christos Efstratiou","raw_affiliation_strings":["School of Computing, University of Kent, Canterbury, Kent, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Kent, Canterbury, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060116803","display_name":"Marialena Nikolopoulou","orcid":"https://orcid.org/0000-0002-0528-2145"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marialena Nikolopoulou","raw_affiliation_strings":["School of Architecture, Design and Planning, University of Kent, Canterbury, Kent, UK"],"affiliations":[{"raw_affiliation_string":"School of Architecture, Design and Planning, University of Kent, Canterbury, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109534112","display_name":"Matt Barker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew Barker","raw_affiliation_strings":["Baxall Construction Ltd., Paddock Wood, Kent, UK"],"affiliations":[{"raw_affiliation_string":"Baxall Construction Ltd., Paddock Wood, Kent, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109550945","display_name":"Andrew Baldwin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Baldwin","raw_affiliation_strings":["Baxall Construction Ltd., Paddock Wood, Kent, UK"],"affiliations":[{"raw_affiliation_string":"Baxall Construction Ltd., Paddock Wood, Kent, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Malcolm Clarke","orcid":"https://orcid.org/0009-0001-3970-4641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malcolm Clarke","raw_affiliation_strings":["Baxall Construction Ltd., Paddock Wood, Kent, UK"],"affiliations":[{"raw_affiliation_string":"Baxall Construction Ltd., Paddock Wood, Kent, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073527276"],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19853092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9977999925613403,"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":0.9977999925613403,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9865999817848206,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6929036378860474},{"id":"https://openalex.org/keywords/thermal-comfort","display_name":"Thermal comfort","score":0.658776044845581},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.593191385269165},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.5896282196044922},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.4806974530220032},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43327975273132324},{"id":"https://openalex.org/keywords/indoor-air-quality","display_name":"Indoor air quality","score":0.41717734932899475},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3695570230484009},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3536418080329895},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.27060896158218384},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17245569825172424},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16962727904319763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1359521448612213},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.07204541563987732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6929036378860474},{"id":"https://openalex.org/C133913538","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal comfort","level":2,"score":0.658776044845581},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.593191385269165},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.5896282196044922},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.4806974530220032},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43327975273132324},{"id":"https://openalex.org/C65469","wikidata":"https://www.wikidata.org/wiki/Q905504","display_name":"Indoor air quality","level":2,"score":0.41717734932899475},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3695570230484009},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3536418080329895},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.27060896158218384},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17245569825172424},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16962727904319763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1359521448612213},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.07204541563987732},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3671127.3699531","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3671127.3699531","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3671127.3699531","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:107759","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3671127.3699531>)","pdf_url":"https://kar.kent.ac.uk/107759/1/C.W.%20Chiu%20-%20A%20machine%20learning%20framework%20for%20optimising%20indoor%20thermal%20comfort%20-%20PPDF.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"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":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.1145/3671127.3699531","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3671127.3699531","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3671127.3699531","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5855972757","display_name":null,"funder_award_id":"13060","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403922610.pdf"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2157331557","https://openalex.org/W2165232124","https://openalex.org/W2970546674","https://openalex.org/W3048660708","https://openalex.org/W4200197328","https://openalex.org/W4386332363","https://openalex.org/W4387025761","https://openalex.org/W4399926290"],"related_works":["https://openalex.org/W2010317732","https://openalex.org/W2483328176","https://openalex.org/W2061705145","https://openalex.org/W193205649","https://openalex.org/W45006177","https://openalex.org/W2016919266","https://openalex.org/W1982793386","https://openalex.org/W2537623333","https://openalex.org/W4293083682","https://openalex.org/W2061507057"],"abstract_inverted_index":{"Optimising":[0],"thermal":[1,112],"comfort":[2,49,72,113],"and":[3,37,51,92,96,114],"air":[4,115],"quality":[5,116],"in":[6,68],"indoor":[7,54,69,107],"environments":[8],"presents":[9],"a":[10,24],"complex,":[11],"dynamic":[12],"challenge":[13],"that":[14,28],"traditional":[15],"static":[16],"systems":[17],"struggle":[18],"to":[19,47,76],"address":[20],"effectively.":[21],"We":[22],"propose":[23],"novel":[25],"real-time":[26,106],"framework":[27],"tackles":[29],"this":[30],"multifaceted":[31],"problem":[32],"by":[33],"leveraging":[34],"stream":[35,60],"clustering":[36,61],"time-series":[38,80],"forecasting":[39,81],"techniques.":[40],"Our":[41],"system":[42],"continuously":[43],"analyses":[44],"sensor":[45],"data":[46],"summarise":[48],"conditions":[50],"predict":[52],"future":[53],"states.":[55],"Simulations":[56],"based":[57],"on":[58,94],"the":[59,79],"model":[62,82],"indicate":[63],"potential":[64],"for":[65,105],"significant":[66],"improvements":[67],"comfort,":[70],"increasing":[71],"duration":[73],"from":[74],"6%":[75],"74%.":[77],"Furthermore,":[78],"demonstrated":[83],"strong":[84],"performance,":[85],"achieving":[86],"mean":[87],"absolute":[88],"errors":[89],"of":[90],"0.026":[91],"0.034":[93],"test":[95],"demonstration":[97],"datasets,":[98],"respectively.":[99],"This":[100],"resource-efficient":[101],"approach":[102],"demonstrates":[103],"promise":[104],"environment":[108],"management,":[109],"effectively":[110],"balancing":[111],"considerations.":[117]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}