{"id":"https://openalex.org/W4409916810","doi":"https://doi.org/10.1109/tce.2025.3565590","title":"Big Data-Intelligence Analytics for Energy Optimization in IoT-Enabled Smart Home Devices","display_name":"Big Data-Intelligence Analytics for Energy Optimization in IoT-Enabled Smart Home Devices","publication_year":2025,"publication_date":"2025-04-29","ids":{"openalex":"https://openalex.org/W4409916810","doi":"https://doi.org/10.1109/tce.2025.3565590"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3565590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3565590","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5104108155","display_name":"Yihong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihong Li","raw_affiliation_strings":["School of Computer Science and Software, Zhaoqing University, Zhaoqing, Guangdong, China","Big Data Engineering Technology Center, Zhaoqing University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, Guangdong, China","institution_ids":["https://openalex.org/I183816158"]},{"raw_affiliation_string":"Big Data Engineering Technology Center, Zhaoqing University, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004166698","display_name":"Qiang Song","orcid":"https://orcid.org/0000-0001-6231-8303"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Song","raw_affiliation_strings":["Big Data Engineering Technology Center, Zhaoqing University, Zhaoqing, Guangdong, China","School of Computer Science and Software, Zhaoqing University, China"],"affiliations":[{"raw_affiliation_string":"Big Data Engineering Technology Center, Zhaoqing University, Zhaoqing, Guangdong, China","institution_ids":["https://openalex.org/I183816158"]},{"raw_affiliation_string":"School of Computer Science and Software, Zhaoqing University, China","institution_ids":["https://openalex.org/I183816158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104108155"],"corresponding_institution_ids":["https://openalex.org/I183816158"],"apc_list":null,"apc_paid":null,"fwci":6.1931,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95592502,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"71","issue":"2","first_page":"4721","last_page":"4728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.3427000045776367,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14484","display_name":"Technology and Data Analysis","score":0.3427000045776367,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/big-data","display_name":"Big data","score":0.7090234756469727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6569405198097229},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6288562417030334},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5967691540718079},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.47229698300361633},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.4267580509185791},{"id":"https://openalex.org/keywords/ambient-intelligence","display_name":"Ambient intelligence","score":0.4113496243953705},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3494148254394531},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33929872512817383},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2867712378501892},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.216228187084198},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17584052681922913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13418373465538025}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7090234756469727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569405198097229},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6288562417030334},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5967691540718079},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.47229698300361633},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.4267580509185791},{"id":"https://openalex.org/C201638289","wikidata":"https://www.wikidata.org/wiki/Q457396","display_name":"Ambient intelligence","level":2,"score":0.4113496243953705},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3494148254394531},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33929872512817383},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2867712378501892},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.216228187084198},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17584052681922913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13418373465538025}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3565590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3565590","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G6257499431","display_name":null,"funder_award_id":"ZD202409","funder_id":"https://openalex.org/F4320335920","funder_display_name":"Natural Science Foundation of Nantong University"}],"funders":[{"id":"https://openalex.org/F4320335920","display_name":"Natural Science Foundation of Nantong University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2315454860","https://openalex.org/W2790644963","https://openalex.org/W2791432311","https://openalex.org/W2989738037","https://openalex.org/W2995819689","https://openalex.org/W2996906899","https://openalex.org/W3033959093","https://openalex.org/W3047538493","https://openalex.org/W3088646623","https://openalex.org/W3109858579","https://openalex.org/W3159543017","https://openalex.org/W3166388230","https://openalex.org/W3176011594","https://openalex.org/W3181552969","https://openalex.org/W3191408443","https://openalex.org/W3207589881","https://openalex.org/W4288788022","https://openalex.org/W4292826013","https://openalex.org/W4310049705","https://openalex.org/W4327522150","https://openalex.org/W4383503583","https://openalex.org/W4387196943","https://openalex.org/W4394896816","https://openalex.org/W4396780970","https://openalex.org/W4401437538","https://openalex.org/W4403182947"],"related_works":["https://openalex.org/W3161928361","https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W2983144534","https://openalex.org/W3092201768","https://openalex.org/W2796632413","https://openalex.org/W2740083192","https://openalex.org/W2794907032","https://openalex.org/W4255802207","https://openalex.org/W4299701476"],"abstract_inverted_index":{"This":[0],"article":[1],"explores":[2],"the":[3,102,121],"integration":[4],"of":[5,76,123],"Artificial":[6],"Intelligence":[7],"(AI)":[8],"and":[9,36,58,93,110],"Big":[10],"Data":[11,45],"Analytics":[12],"to":[13,72,78],"optimize":[14],"energy":[15,42,53,69,96,112,128,140],"consumption":[16],"in":[17,68,95,126,130,148],"IoT-enabled":[18],"smart":[19,131],"home":[20],"devices.":[21],"It":[22],"presents":[23],"a":[24,64],"robust":[25],"analytical":[26],"framework":[27,104],"that":[28,134],"leverages":[29],"Variational":[30],"Autoencoders":[31],"(VAEs)":[32],"for":[33,40],"feature":[34],"extraction":[35],"Differential":[37],"Evolution":[38],"(DE)":[39],"optimizing":[41],"management":[43],"parameters.":[44],"was":[46],"gathered":[47],"from":[48],"various":[49],"IoT":[50],"devices,":[51],"including":[52],"usage":[54,108],"patterns,":[55],"occupancy":[56],"data,":[57],"environmental":[59],"conditions.":[60],"The":[61,98],"results":[62],"show":[63],"notable":[65],"40%":[66],"reduction":[67],"consumption,":[70],"leading":[71],"annual":[73],"cost":[74],"savings":[75],"up":[77],"$300":[79],"per":[80],"household.":[81],"Moreover,":[82],"user":[83,116,146],"satisfaction":[84],"increased":[85],"by":[86],"25%,":[87],"with":[88],"participants":[89],"reporting":[90],"heightened":[91],"awareness":[92],"engagement":[94],"conservation.":[97],"study":[99],"highlights":[100],"how":[101],"proposed":[103],"efficiently":[105],"identifies":[106],"common":[107],"patterns":[109],"optimizes":[111],"distribution":[113],"while":[114],"preserving":[115],"comfort.":[117],"These":[118],"findings":[119],"reinforce":[120],"potential":[122],"AI-driven":[124],"analytics":[125],"improving":[127],"efficiency":[129],"homes,":[132],"demonstrating":[133],"advanced":[135],"algorithms":[136],"not":[137],"only":[138],"support":[139],"conservation":[141],"but":[142],"also":[143],"promote":[144],"active":[145],"participation":[147],"sustainability":[149],"efforts.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}