{"id":"https://openalex.org/W4388320619","doi":"https://doi.org/10.1145/3600100.3626640","title":"Zone-Level Anomaly Detection in VAV Terminal Units Using an Unsupervised Learning Approach","display_name":"Zone-Level Anomaly Detection in VAV Terminal Units Using an Unsupervised Learning Approach","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4388320619","doi":"https://doi.org/10.1145/3600100.3626640"},"language":"en","primary_location":{"id":"doi:10.1145/3600100.3626640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600100.3626640","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/A5045820114","display_name":"Arya Parsaei","orcid":"https://orcid.org/0009-0007-8723-1694"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Arya Parsaei","raw_affiliation_strings":["Carleton University, Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109541643","display_name":"Burak Gunay","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Burak Gunay","raw_affiliation_strings":["Carleton University, Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069951265","display_name":"William O\u2019Brien","orcid":"https://orcid.org/0000-0002-0236-5383"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"William O'Brien","raw_affiliation_strings":["Carleton University, Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028301905","display_name":"Ricardo Moromisato","orcid":"https://orcid.org/0009-0007-4579-3381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ricardo Moromisato","raw_affiliation_strings":["CopperTree Analytics, Canada"],"affiliations":[{"raw_affiliation_string":"CopperTree Analytics, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045820114"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.174,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58026499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"481","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.986299991607666,"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/T14011","display_name":"Elevator Systems and Control","score":0.974399983882904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/variable-air-volume","display_name":"Variable air volume","score":0.8390107154846191},{"id":"https://openalex.org/keywords/hvac","display_name":"HVAC","score":0.8047502040863037},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6938563585281372},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6906071901321411},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6268969178199768},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6214587688446045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5753172636032104},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5616722106933594},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4896088242530823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36087894439697266},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3538290858268738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2409723699092865},{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.12065994739532471},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10134753584861755},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.08865627646446228}],"concepts":[{"id":"https://openalex.org/C51176869","wikidata":"https://www.wikidata.org/wiki/Q7915706","display_name":"Variable air volume","level":3,"score":0.8390107154846191},{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.8047502040863037},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6938563585281372},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6906071901321411},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6268969178199768},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6214587688446045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753172636032104},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5616722106933594},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4896088242530823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36087894439697266},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3538290858268738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2409723699092865},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.12065994739532471},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10134753584861755},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.08865627646446228},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3600100.3626640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600100.3626640","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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2057756949","https://openalex.org/W2607521821","https://openalex.org/W2780476542","https://openalex.org/W2938814897","https://openalex.org/W3083031547","https://openalex.org/W3088659404","https://openalex.org/W3174700462","https://openalex.org/W3201043730","https://openalex.org/W4292939437","https://openalex.org/W4318203596","https://openalex.org/W4361026914"],"related_works":["https://openalex.org/W2616917605","https://openalex.org/W2065945314","https://openalex.org/W2053123345","https://openalex.org/W2332573992","https://openalex.org/W2496890704","https://openalex.org/W824883811","https://openalex.org/W1978906313","https://openalex.org/W1974953047","https://openalex.org/W2038863060","https://openalex.org/W2142500547"],"abstract_inverted_index":{"Effective":[0],"operation":[1],"of":[2,41,95,113,145,160],"HVAC":[3],"systems":[4,16],"is":[5],"crucial":[6],"to":[7],"minimize":[8],"energy":[9],"inefficiencies":[10],"and":[11,23,33,81,158],"occupant":[12],"discomfort.":[13],"However,":[14],"these":[15,53],"can":[17],"experience":[18],"various":[19],"problems,":[20],"including":[21],"hardware":[22],"software-related":[24],"anomalies.":[25],"On":[26],"the":[27,46,93,96,156],"other":[28],"hand,":[29],"conventional":[30],"fault":[31,42,54],"detection":[32],"diagnosis":[34],"techniques":[35],"mostly":[36],"depend":[37],"on":[38,87],"pre-established":[39],"lists":[40],"alarms":[43],"resulting":[44],"in":[45,67,117,148],"potential":[47,161],"for":[48,63,140],"anomalous":[49,65,127],"occurrences":[50],"that":[51],"defy":[52],"classifications.":[55],"This":[56],"study":[57,101],"presents":[58],"a":[59,99,108,142],"novel":[60],"unsupervised":[61],"approach":[62],"detecting":[64,141],"zones":[66,128],"variable":[68],"air":[69,72],"volume":[70],"(VAV)":[71],"handling":[73],"units":[74],"(AHUs).":[75],"The":[76,120,135],"method":[77,123],"utilizes":[78],"autoencoders":[79],"(AE)":[80],"principal":[82],"component":[83],"analysis":[84],"(PCA),":[85],"based":[86],"zone-level":[88,132],"trend":[89,133],"logs.":[90,134],"To":[91],"evaluate":[92],"effectiveness":[94],"proposed":[97,121],"approach,":[98],"case":[100],"was":[102],"conducted":[103],"using":[104],"data":[105],"collected":[106],"from":[107],"71-zone":[109],"VAV":[110,149],"AHU":[111],"system":[112,157],"an":[114],"educational":[115],"building":[116],"Ottawa,":[118],"Canada.":[119],"PCA-AE":[122],"successfully":[124],"identified":[125],"four":[126,131],"by":[129],"considering":[130],"findings":[136],"demonstrated":[137],"great":[138],"adaptability":[139],"wide":[143],"range":[144],"zone":[146],"anomalies":[147],"AHUs":[150],"giving":[151],"operators":[152],"valuable":[153],"insights":[154],"about":[155],"notify":[159],"faults":[162],"at":[163],"early":[164],"stage.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
