{"id":"https://openalex.org/W4390606094","doi":"https://doi.org/10.1109/icm60448.2023.10378946","title":"PSO-GA-based Federated Learning for Predicting Energy Consumption in Smart Buildings","display_name":"PSO-GA-based Federated Learning for Predicting Energy Consumption in Smart Buildings","publication_year":2023,"publication_date":"2023-12-17","ids":{"openalex":"https://openalex.org/W4390606094","doi":"https://doi.org/10.1109/icm60448.2023.10378946"},"language":"en","primary_location":{"id":"doi:10.1109/icm60448.2023.10378946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm60448.2023.10378946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Microelectronics (ICM)","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/A5007787494","display_name":"Nader Bakir","orcid":"https://orcid.org/0009-0003-5786-4248"},"institutions":[{"id":"https://openalex.org/I36314861","display_name":"Beirut Arab University","ror":"https://ror.org/02jya5567","country_code":"LB","type":"education","lineage":["https://openalex.org/I36314861"]}],"countries":["LB"],"is_corresponding":true,"raw_author_name":"Nader Bakir","raw_affiliation_strings":["Beirut Arab University,Faculty of Science,Tripoli,Lebanon","Faculty of Science, Beirut Arab University, Tripoli, Lebanon"],"affiliations":[{"raw_affiliation_string":"Beirut Arab University,Faculty of Science,Tripoli,Lebanon","institution_ids":["https://openalex.org/I36314861"]},{"raw_affiliation_string":"Faculty of Science, Beirut Arab University, Tripoli, Lebanon","institution_ids":["https://openalex.org/I36314861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093657748","display_name":"Ahmad Samrouth","orcid":null},"institutions":[{"id":"https://openalex.org/I160368002","display_name":"Lebanese University","ror":"https://ror.org/05x6qnc69","country_code":"LB","type":"education","lineage":["https://openalex.org/I160368002"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Ahmad Samrouth","raw_affiliation_strings":["Lebanese University,Faculty of Computer Science,Tripoli,Lebanon","Faculty of Computer Science, Lebanese University, Tripoli, Lebanon"],"affiliations":[{"raw_affiliation_string":"Lebanese University,Faculty of Computer Science,Tripoli,Lebanon","institution_ids":["https://openalex.org/I160368002"]},{"raw_affiliation_string":"Faculty of Computer Science, Lebanese University, Tripoli, Lebanon","institution_ids":["https://openalex.org/I160368002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059047296","display_name":"Khouloud Samrouth","orcid":"https://orcid.org/0000-0003-2696-2024"},"institutions":[{"id":"https://openalex.org/I4210090878","display_name":"Arab Open University","ror":"https://ror.org/00d260p98","country_code":"LB","type":"education","lineage":["https://openalex.org/I4210090878","https://openalex.org/I4210093932"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Khouloud Samrouth","raw_affiliation_strings":["Arab Open University,Cybersecurity and Forensics Department,Beirut,Lebanon","Cybersecurity and Forensics Department, Arab Open University, Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Arab Open University,Cybersecurity and Forensics Department,Beirut,Lebanon","institution_ids":["https://openalex.org/I4210090878"]},{"raw_affiliation_string":"Cybersecurity and Forensics Department, Arab Open University, Beirut, Lebanon","institution_ids":["https://openalex.org/I4210090878"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007787494"],"corresponding_institution_ids":["https://openalex.org/I36314861"],"apc_list":null,"apc_paid":null,"fwci":1.5778,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81708663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9957000017166138,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9957000017166138,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9945999979972839,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9889000058174133,"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":0.785105288028717},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7132956981658936},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6926440000534058},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6671286225318909},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5721422433853149},{"id":"https://openalex.org/keywords/building-automation","display_name":"Building automation","score":0.5073100924491882},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.48632603883743286},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46817582845687866},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.44124504923820496},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42249417304992676},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42150717973709106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38023269176483154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37566107511520386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36797353625297546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13856467604637146},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13410985469818115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785105288028717},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7132956981658936},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6926440000534058},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6671286225318909},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5721422433853149},{"id":"https://openalex.org/C83931994","wikidata":"https://www.wikidata.org/wiki/Q1149653","display_name":"Building automation","level":2,"score":0.5073100924491882},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.48632603883743286},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46817582845687866},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.44124504923820496},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42249417304992676},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42150717973709106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38023269176483154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37566107511520386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36797353625297546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13856467604637146},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13410985469818115},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1109/icm60448.2023.10378946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm60448.2023.10378946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2119545786","https://openalex.org/W2573137292","https://openalex.org/W2941931164","https://openalex.org/W3026665694","https://openalex.org/W3042795714","https://openalex.org/W3045941597","https://openalex.org/W3086579950","https://openalex.org/W3086809868","https://openalex.org/W3124851551","https://openalex.org/W3125796803","https://openalex.org/W3135032840","https://openalex.org/W3137762252","https://openalex.org/W3155912831","https://openalex.org/W3159080474","https://openalex.org/W3161349159","https://openalex.org/W3189092282","https://openalex.org/W3205185918","https://openalex.org/W3209696639","https://openalex.org/W4200227341","https://openalex.org/W4295308572","https://openalex.org/W4310174991","https://openalex.org/W4320803082","https://openalex.org/W4385756549","https://openalex.org/W6703736830"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2751256511","https://openalex.org/W2314720829","https://openalex.org/W1597785538","https://openalex.org/W2382521298","https://openalex.org/W2377022227","https://openalex.org/W3019402777","https://openalex.org/W4386596916","https://openalex.org/W2491804929","https://openalex.org/W2199575140"],"abstract_inverted_index":{"Smart":[0],"buildings":[1],"are":[2,46],"increasingly":[3],"equipped":[4],"with":[5,122,162],"a":[6,19,63,104],"multitude":[7],"of":[8,16,50,70,90,107],"sensors":[9],"and":[10,40,53,74,150],"IoT":[11],"devices,":[12],"generating":[13],"vast":[14],"amounts":[15],"data.":[17],"Generating":[18],"common":[20],"global":[21,92],"efficient":[22],"model":[23,93],"for":[24,34,132],"predicting":[25],"energy":[26,36,135,146],"consumption":[27,136,147],"accurately":[28],"in":[29,48,76,160],"these":[30],"environments":[31],"is":[32],"crucial":[33],"optimizing":[35],"usage,":[37],"reducing":[38],"costs,":[39],"achieving":[41],"sustainability":[42],"goals.":[43],"However,":[44,80],"there":[45],"limitations":[47],"terms":[49],"communication":[51],"resources":[52],"data":[54,72],"privacy.":[55],"Hence,":[56],"Federated":[57],"Learning":[58],"(FL)":[59],"has":[60],"emerged":[61],"as":[62,87],"promising":[64],"solution":[65],"to":[66,85,95,98,116,129],"address":[67],"the":[68,88,91,100,118,123,145,152,163],"challenges":[69],"privacy,":[71],"decentralization,":[73],"scalability":[75],"such":[77],"complex":[78],"systems.":[79],"FL":[81,131],"can":[82],"be":[83,96],"challenging":[84],"optimize,":[86],"parameters":[89],"need":[94],"tuned":[97],"achieve":[99],"best":[101],"performance":[102,149],"on":[103],"diverse":[105],"set":[106],"devices":[108],"(called":[109],"clients).":[110],"In":[111],"this":[112],"paper,":[113],"we":[114],"propose":[115],"combine":[117],"Genetic":[119],"Algorithm":[120],"(GA)":[121],"Particle":[124],"Swarm":[125],"optimization":[126],"(PSO)":[127],"algorithm":[128],"optimize":[130],"smart":[133],"building":[134],"prediction.":[137],"Experiments":[138],"show":[139],"that":[140],"our":[141],"proposed":[142],"method":[143],"increases":[144],"prediction":[148],"reduce":[151],"Root":[153],"Mean":[154],"Square":[155],"Error":[156],"RMSE":[157],"by":[158],"7.7%":[159],"comparison":[161],"local":[164],"models.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
