{"id":"https://openalex.org/W7130606904","doi":"https://doi.org/10.1109/ictc66702.2025.11387885","title":"Non-Intrusive Estimation of Household Behavioral Lifestyle Using Smart Meter Time-Interval Aggregation Algorithms","display_name":"Non-Intrusive Estimation of Household Behavioral Lifestyle Using Smart Meter Time-Interval Aggregation Algorithms","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130606904","doi":"https://doi.org/10.1109/ictc66702.2025.11387885"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11387885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11387885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","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":null,"display_name":"Youhee Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I4210127102","display_name":"Korea Institute of Energy Research","ror":"https://ror.org/0298pes53","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210127102","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youhee Choi","raw_affiliation_strings":["ETRI,Energy ICT Research Section,Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETRI,Energy ICT Research Section,Daejeon,Korea","institution_ids":["https://openalex.org/I142401562","https://openalex.org/I4210127102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051103795","display_name":"Tai Yeon Ku","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I4210127102","display_name":"Korea Institute of Energy Research","ror":"https://ror.org/0298pes53","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210127102","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tai Yeon Ku","raw_affiliation_strings":["ETRI,Energy ICT Research Section,Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETRI,Energy ICT Research Section,Daejeon,Korea","institution_ids":["https://openalex.org/I142401562","https://openalex.org/I4210127102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126365931","display_name":"Wan-Ki Park","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I4210127102","display_name":"Korea Institute of Energy Research","ror":"https://ror.org/0298pes53","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210127102","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wan-Ki Park","raw_affiliation_strings":["ETRI,Energy ICT Research Section,Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETRI,Energy ICT Research Section,Daejeon,Korea","institution_ids":["https://openalex.org/I142401562","https://openalex.org/I4210127102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.2897000014781952,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10603","display_name":"Smart Grid Energy Management","score":0.2897000014781952,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.13899999856948853,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.10660000145435333,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/smart-meter","display_name":"Smart meter","score":0.7541000247001648},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5615000128746033},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.555400013923645},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5263000130653381},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5175999999046326},{"id":"https://openalex.org/keywords/behavioral-analysis","display_name":"Behavioral analysis","score":0.4575999975204468},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4429999887943268},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.4359999895095825},{"id":"https://openalex.org/keywords/behavioral-pattern","display_name":"Behavioral pattern","score":0.42879998683929443},{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.41670000553131104}],"concepts":[{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.7541000247001648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635200023651123},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5615000128746033},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.555400013923645},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5263000130653381},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5175999999046326},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47749999165534973},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.4575999975204468},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.4359999895095825},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.41670000553131104},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4004000127315521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3930000066757202},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3718000054359436},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3052000105381012},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C152223200","wikidata":"https://www.wikidata.org/wiki/Q3055471","display_name":"Smart environment","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2781353284","wikidata":"https://www.wikidata.org/wiki/Q7901676","display_name":"Usage data","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.26109999418258667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11387885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11387885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8688169121742249}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1479651931","https://openalex.org/W2097481773","https://openalex.org/W2131353345"],"related_works":[],"abstract_inverted_index":{"The":[0,51,127],"growing":[1],"demand":[2],"for":[3,131],"personalized":[4,140],"energy":[5,133],"management":[6],"and":[7,34,47,60,70,100,139],"smart":[8,40,144],"city":[9],"services":[10],"has":[11],"highlighted":[12],"the":[13,112],"importance":[14],"of":[15,76],"accurately":[16],"understanding":[17],"household":[18],"behavioral":[19,98],"patterns":[20,37],"through":[21],"non-intrusive":[22],"methods.":[23],"This":[24],"study":[25],"proposes":[26],"a":[27],"time-interval":[28],"aggregation":[29],"algorithm":[30],"that":[31],"infers":[32],"sleep":[33],"wake":[35],"time":[36],"from":[38],"multi-source":[39,92],"meter":[41],"data,":[42,93],"including":[43],"electricity,":[44],"cold":[45],"water,":[46],"hot":[48],"water":[49],"usage.":[50],"method":[52],"addresses":[53],"challenges":[54],"such":[55],"as":[56],"baseline":[57],"consumption":[58],"noise":[59],"irregular":[61],"usage":[62,82],"behaviors":[63],"by":[64],"applying":[65],"threshold-based":[66],"filtering,":[67],"interval":[68],"merging,":[69],"temporal":[71],"frequency":[72],"analysis.":[73],"It":[74],"consists":[75],"six":[77],"structured":[78],"steps:":[79],"identifying":[80],"active":[81],"hours,":[83],"constructing":[84],"continuous":[85],"intervals,":[86,90],"selecting":[87],"frequently":[88],"recurring":[89],"integrating":[91],"inferring":[94],"sleep\u2013wake":[95],"times":[96],"using":[97,107],"heuristics,":[99],"classifying":[101],"weekday":[102],"versus":[103],"holiday":[104],"patterns.":[105],"Validation":[106],"real-world":[108],"residential":[109],"datasets":[110],"demonstrates":[111],"algorithm\u2019s":[113],"effectiveness":[114],"in":[115],"consistently":[116],"estimating":[117],"circadian":[118],"behavior":[119],"without":[120],"requiring":[121],"wearable":[122],"sensors":[123],"or":[124],"intrusive":[125],"monitoring.":[126],"results":[128],"show":[129],"potential":[130],"enhancing":[132],"efficiency":[134],"services,":[135],"carbon":[136],"reduction":[137],"strategies,":[138],"lifestyle":[141],"analytics":[142],"within":[143],"grid":[145],"environments.":[146]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-02-20T00:00:00"}