{"id":"https://openalex.org/W2986465390","doi":"https://doi.org/10.1145/3360322.3360840","title":"Development of a clustering-based morning start time estimation algorithm for space heating and cooling","display_name":"Development of a clustering-based morning start time estimation algorithm for space heating and cooling","publication_year":2019,"publication_date":"2019-11-05","ids":{"openalex":"https://openalex.org/W2986465390","doi":"https://doi.org/10.1145/3360322.3360840","mag":"2986465390"},"language":"en","primary_location":{"id":"doi:10.1145/3360322.3360840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360322.3360840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th 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/A5035004860","display_name":"H. Burak Gunay","orcid":"https://orcid.org/0000-0003-3214-700X"},"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, Ottawa, ON"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University, Ottawa, ON","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051896532","display_name":"Zixiao Shi","orcid":"https://orcid.org/0000-0003-4309-3051"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zixiao Shi","raw_affiliation_strings":["National Research Council Canada, Ottawa, ON"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Ottawa, ON","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068220353","display_name":"Araz Ashouri","orcid":"https://orcid.org/0000-0002-2192-7601"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Araz Ashouri","raw_affiliation_strings":["National Research Council Canada, Ottawa, ON"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Ottawa, ON","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110550008","display_name":"Guy R. Newsham","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guy Newsham","raw_affiliation_strings":["National Research Council Canada, Ottawa, ON"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Ottawa, ON","institution_ids":["https://openalex.org/I4210159778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6345,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85042373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T11692","display_name":"Noise Effects and Management","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11954","display_name":"Energy Efficiency and Management","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/morning","display_name":"Morning","score":0.8027321100234985},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7587920427322388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5444059371948242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5322487354278564},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48327380418777466},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.46060898900032043},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44885867834091187},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4169046878814697},{"id":"https://openalex.org/keywords/start-point","display_name":"Start point","score":0.4121289849281311},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3281363844871521},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3102768659591675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.279816210269928},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.2472291886806488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20701253414154053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19591417908668518},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10808780789375305},{"id":"https://openalex.org/keywords/end-point","display_name":"End point","score":0.10578912496566772}],"concepts":[{"id":"https://openalex.org/C19720800","wikidata":"https://www.wikidata.org/wiki/Q7722","display_name":"Morning","level":2,"score":0.8027321100234985},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7587920427322388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5444059371948242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5322487354278564},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48327380418777466},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.46060898900032043},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44885867834091187},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4169046878814697},{"id":"https://openalex.org/C2779859299","wikidata":"https://www.wikidata.org/wiki/Q7602527","display_name":"Start point","level":3,"score":0.4121289849281311},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3281363844871521},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3102768659591675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.279816210269928},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2472291886806488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20701253414154053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19591417908668518},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10808780789375305},{"id":"https://openalex.org/C2987804222","wikidata":"https://www.wikidata.org/wiki/Q5376582","display_name":"End point","level":2,"score":0.10578912496566772},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3360322.3360840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360322.3360840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:169f6b63-7c29-4e24-899e-fabcf2fb7de7","is_oa":false,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=169f6b63-7c29-4e24-899e-fabcf2fb7de7","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1964605680","https://openalex.org/W1985610228","https://openalex.org/W1987600600","https://openalex.org/W2024075368","https://openalex.org/W2030071187","https://openalex.org/W2040102454","https://openalex.org/W2066712845","https://openalex.org/W2295592676","https://openalex.org/W2313271951","https://openalex.org/W2428794635","https://openalex.org/W2436872002","https://openalex.org/W2566479857","https://openalex.org/W2604090774","https://openalex.org/W2612069861","https://openalex.org/W2615189434","https://openalex.org/W2655222238","https://openalex.org/W2773087568","https://openalex.org/W2779772834","https://openalex.org/W2792963994","https://openalex.org/W2899639285","https://openalex.org/W2902097158"],"related_works":["https://openalex.org/W2513280345","https://openalex.org/W2126517713","https://openalex.org/W2078555651","https://openalex.org/W1721599012","https://openalex.org/W364369262","https://openalex.org/W4232399475","https://openalex.org/W4323058093","https://openalex.org/W4236989371","https://openalex.org/W2888523397","https://openalex.org/W2380798983"],"abstract_inverted_index":{"The":[0,56,87,93,108,125,140,154,182,206],"morning":[1,48,122,135,184],"start":[2,49,130,212],"time":[3,50,131],"of":[4,19,62,83,90,101],"heating":[5,69,225],"and":[6,16,65,68,70,74,195,199,202,222,226],"cooling":[7,71],"equipment":[8],"plays":[9],"an":[10],"important":[11],"role":[12],"in":[13,189],"the":[14,81,84,129,144,170],"energy":[15,72,145],"comfort":[17],"performance":[18],"buildings.":[20],"Existing":[21],"algorithms":[22],"to":[23,98,115,178],"guide":[24],"this":[25,43,216],"decision":[26],"require":[27,77],"either":[28],"many":[29],"data":[30,171],"types":[31,61],"with":[32,103],"a":[33,38,45,104,160,163],"consistent":[34],"labelling":[35],"nomenclature":[36],"or":[37],"detailed":[39],"calibrated":[40],"model.":[41],"In":[42],"paper,":[44],"model-free":[46],"clustering-based":[47],"estimation":[51],"algorithm":[52,57,88,155],"is":[53],"put":[54],"forward.":[55],"inputs":[58],"only":[59,179],"four":[60,91],"data:":[63],"indoor":[64],"outdoor":[66],"temperatures,":[67],"use,":[73],"does":[75],"not":[76],"any":[78],"information":[79,217],"regarding":[80],"location":[82],"temperature":[85,106,118,137,174,186],"sensors.":[86],"consists":[89],"steps.":[92],"first":[94],"one":[95,110,127,142],"employs":[96],"clustering":[97],"form":[99],"groups":[100],"zones":[102],"similar":[105],"response.":[107],"second":[109],"searches":[111],"for":[112,197,204,224],"inflection":[113],"points":[114],"identify":[116],"cluster":[117],"change":[119,138,151,187],"rates":[120,188],"during":[121],"start-up":[123,136,185],"periods.":[124],"third":[126],"determines":[128],"based":[132,214],"on":[133,215],"previous":[134],"rates.":[139],"last":[141],"estimates":[143],"savings":[146,207],"potential":[147,208],"by":[148,158,209],"using":[149,159],"bivariate":[150],"point":[152],"models.":[153],"was":[156,218],"developed":[157],"dataset":[161],"from":[162,172],"large":[164],"office":[165],"building.":[166],"Through":[167],"hierarchical":[168],"clustering,":[169],"142":[173],"sensors":[175],"were":[176,192],"consolidated":[177],"seven":[180],"clusters.":[181],"median":[183],"individual":[190],"clusters":[191],"between":[193,200],"0.3\u00b0C/h":[194],"0.8\u00b0C/h":[196],"heating,":[198],"-0.5\u00b0C/h":[201],"-1.2\u00b0C/h":[203],"cooling.":[205],"tuning":[210],"daily":[211],"times":[213],"estimated":[219],"as":[220],"3%":[221],"7%":[223],"cooling,":[227],"respectively.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
