{"id":"https://openalex.org/W4205731257","doi":"https://doi.org/10.23919/ecc54610.2021.9654929","title":"Online Genetic-Algorithm-based Model Predictive Control Framework for Multi-Zone Buildings","display_name":"Online Genetic-Algorithm-based Model Predictive Control Framework for Multi-Zone Buildings","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W4205731257","doi":"https://doi.org/10.23919/ecc54610.2021.9654929"},"language":"en","primary_location":{"id":"doi:10.23919/ecc54610.2021.9654929","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc54610.2021.9654929","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"2021 European Control Conference (ECC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Control Conference (ECC)","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/A5012827644","display_name":"Fatma Mtibaa","orcid":"https://orcid.org/0000-0002-1833-1401"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fatma Mtibaa","raw_affiliation_strings":["Synchromedia Laboratory \u2013 \u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Synchromedia Laboratory \u2013 \u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kim-Khoa Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kim-Khoa Nguyen","raw_affiliation_strings":["Synchromedia Laboratory \u2013 \u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Synchromedia Laboratory \u2013 \u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003888455","display_name":"Vasken Dermardiros","orcid":"https://orcid.org/0000-0001-5229-7764"},"institutions":[{"id":"https://openalex.org/I4210102646","display_name":"Brain Canada Foundation","ror":"https://ror.org/01bcmwk98","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210102646"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vasken Dermardiros","raw_affiliation_strings":["Smart Building lab, BrainBox AI, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Building lab, BrainBox AI, Montreal, QC, Canada","institution_ids":["https://openalex.org/I4210102646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015410834","display_name":"Mohamed Cheriet","orcid":"https://orcid.org/0000-0002-5246-7265"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Cheriet","raw_affiliation_strings":["Synchromedia Laboratory \u2013 \u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Synchromedia Laboratory \u2013 \u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4862,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63398316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1011","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9972000122070312,"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":0.9972000122070312,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9785000085830688,"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"}},{"id":"https://openalex.org/T11371","display_name":"Wind and Air Flow Studies","score":0.9293000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887450814247131},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6817391514778137},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5810839533805847},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.512414276599884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4489533007144928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32355356216430664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2900148034095764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887450814247131},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6817391514778137},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5810839533805847},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.512414276599884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4489533007144928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32355356216430664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2900148034095764}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/ecc54610.2021.9654929","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc54610.2021.9654929","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"2021 European Control Conference (ECC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Control Conference (ECC)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:24079","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/24079/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1480610080","https://openalex.org/W1967235646","https://openalex.org/W2006392151","https://openalex.org/W2064169391","https://openalex.org/W2068956724","https://openalex.org/W2086048010","https://openalex.org/W2789880759","https://openalex.org/W2790613195","https://openalex.org/W2792641835","https://openalex.org/W2910855614","https://openalex.org/W3021449555","https://openalex.org/W3133716789"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W1990079087","https://openalex.org/W2073681303","https://openalex.org/W3202234113","https://openalex.org/W2101188133","https://openalex.org/W4248731570","https://openalex.org/W2381210024","https://openalex.org/W2060165215","https://openalex.org/W2384015130","https://openalex.org/W2556120871"],"abstract_inverted_index":{"To":[0],"meet":[1],"the":[2,44,47,67,72,98,102,154,161,170,204],"strong":[3],"need":[4],"to":[5,29,35,65,152],"reduce":[6,30],"energy":[7,181,218],"consumption":[8,31,219],"and":[9,32,58,105,109,159,185,195,214,220],"environmental":[10],"impact,":[11],"a":[12,56,83,123,133,137,147,173],"more":[13,211],"advanced":[14],"control":[15,24,87,92,140,208],"system":[16,49,108],"is":[17,26,55,150],"required":[18],"for":[19,168],"today\u2019s":[20],"buildings.":[21],"Model":[22],"predictive":[23,91,139],"(MPC)":[25],"well":[27],"used":[28,151],"discomfort.":[33],"However,":[34],"build":[36],"an":[37,80,115],"online":[38,85,155],"MPC":[39,157],"model":[40,90,138],"in":[41,217,223],"real-word":[42],"building,":[43],"dynamics":[45],"of":[46,74,82,101,165],"physical":[48],"must":[50],"be":[51],"accurately":[52],"modeled,":[53],"which":[54],"time-consuming":[57],"costly":[59],"task.":[60],"Neural":[61],"network":[62,125],"models":[63,158],"help":[64],"overcome":[66],"modeling":[68],"problems":[69],"especially":[70],"with":[71,136,210],"availability":[73],"historical":[75],"data.":[76],"This":[77],"research":[78],"presents":[79],"implementation":[81],"novel":[84],"data-driven":[86,156],"framework":[88],"named":[89],"via":[93],"genetic":[94,148],"algorithm":[95,145,149],"(MPC-GA)":[96],"allowing":[97],"optimal":[99,162],"operation":[100],"heating,":[103],"ventilation,":[104],"air":[106],"conditioning":[107],"has":[110],"been":[111],"experimentally":[112],"validated":[113],"on":[114],"existing":[116],"multi-zone":[117],"retail":[118],"building.":[119],"The":[120,199],"MPC-GA":[121,205],"combines":[122],"neural":[124],"time":[126,225],"series":[127],"multivariate":[128],"prediction":[129,174],"model,":[130],"inspired":[131],"from":[132],"prior":[134],"work,":[135],"framework.":[141],"A":[142],"heuristic":[143],"search":[144],"using":[146],"solve":[153],"obtain":[160],"combination":[163],"settings":[164],"all":[166,169],"controls":[167],"zones":[171],"over":[172],"horizon.":[175],"Three":[176],"costs":[177],"are":[178],"minimized":[179],"including:":[180],"consumption,":[182],"peak":[183],"demand":[184],"discomfort":[186,221],"during":[187],"occupied":[188],"hours":[189],"under":[190],"self-tuned":[191],"setpoint,":[192],"temperature":[193],"ramp":[194],"equipment":[196],"cycling":[197],"constraints.":[198],"benchmark":[200],"results":[201],"showed":[202],"that":[203],"outperforms":[206],"state-of-the-art":[207],"systems":[209],"than":[212],"50%":[213],"80%":[215],"reduction":[216],"respectively":[222],"real":[224],"deployment":[226],"mode.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}