{"id":"https://openalex.org/W2328146686","doi":"https://doi.org/10.1109/tsg.2016.2548565","title":"Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications","display_name":"Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications","publication_year":2016,"publication_date":"2016-04-06","ids":{"openalex":"https://openalex.org/W2328146686","doi":"https://doi.org/10.1109/tsg.2016.2548565","mag":"2328146686"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2016.2548565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2016.2548565","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","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/A5100764495","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0003-1143-0666"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043873168","display_name":"Qixin Chen","orcid":"https://orcid.org/0000-0002-3733-8641"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixin Chen","raw_affiliation_strings":["State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447205","display_name":"Chongqing Kang","orcid":"https://orcid.org/0000-0003-2296-8250"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongqing Kang","raw_affiliation_strings":["State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2296-8250","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001759017","display_name":"Qing Xia","orcid":"https://orcid.org/0000-0001-5238-9300"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xia","raw_affiliation_strings":["State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":26.9523,"has_fulltext":false,"cited_by_count":340,"citation_normalized_percentile":{"value":0.9972752,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"7","issue":"5","first_page":"2437","last_page":"2447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9950000047683716,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7425901889801025},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.5803532004356384},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5655122399330139},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5580489635467529},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5520810484886169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4811021685600281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35411763191223145},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3258684277534485},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2511936128139496},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.23817917704582214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2213301658630371},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1919752061367035},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1353779137134552},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08947983384132385}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7425901889801025},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5803532004356384},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5655122399330139},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5580489635467529},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5520810484886169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4811021685600281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35411763191223145},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3258684277534485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2511936128139496},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.23817917704582214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2213301658630371},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1919752061367035},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1353779137134552},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08947983384132385},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2016.2548565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2016.2548565","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G148077163","display_name":null,"funder_award_id":"51325702","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G2321288571","display_name":null,"funder_award_id":"GD-KJXM-20150902","funder_id":"https://openalex.org/F4320323192","funder_display_name":"China Southern Power Grid"},{"id":"https://openalex.org/G8963588955","display_name":null,"funder_award_id":"2013CB228206","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W13630428","https://openalex.org/W1521624597","https://openalex.org/W1543646709","https://openalex.org/W1571401318","https://openalex.org/W1964755582","https://openalex.org/W1965555277","https://openalex.org/W1973763631","https://openalex.org/W1976065452","https://openalex.org/W1984288816","https://openalex.org/W1985698504","https://openalex.org/W1986778227","https://openalex.org/W1989037929","https://openalex.org/W1989866797","https://openalex.org/W1997729648","https://openalex.org/W1999577953","https://openalex.org/W2007749588","https://openalex.org/W2017276952","https://openalex.org/W2028348615","https://openalex.org/W2036877005","https://openalex.org/W2047852079","https://openalex.org/W2058755023","https://openalex.org/W2064343991","https://openalex.org/W2066384055","https://openalex.org/W2066920169","https://openalex.org/W2073513162","https://openalex.org/W2097747115","https://openalex.org/W2106132574","https://openalex.org/W2116721403","https://openalex.org/W2117604780","https://openalex.org/W2136080507","https://openalex.org/W2145245000","https://openalex.org/W2146950091","https://openalex.org/W2148951278","https://openalex.org/W2164274563","https://openalex.org/W2165835468","https://openalex.org/W2170820890","https://openalex.org/W2171208762","https://openalex.org/W2187355152","https://openalex.org/W2269227734","https://openalex.org/W2317319310","https://openalex.org/W2318212297","https://openalex.org/W2344241702","https://openalex.org/W2347910503","https://openalex.org/W2542053573","https://openalex.org/W3141396188","https://openalex.org/W4242361805","https://openalex.org/W4242702158","https://openalex.org/W4255235850","https://openalex.org/W6634228127","https://openalex.org/W6646205557","https://openalex.org/W6700274399"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2361441833","https://openalex.org/W3200447293","https://openalex.org/W3136869357"],"abstract_inverted_index":{"In":[0],"a":[1,42,114,172],"competitive":[2],"retail":[3],"market,":[4],"large":[5,102],"volumes":[6],"of":[7,21,30,35,47,83,97,105,122,135,163,185],"smart":[8],"meter":[9],"data":[10,85,103,177],"provide":[11],"opportunities":[12],"for":[13,45,70],"load":[14,27,37,106],"serving":[15],"entities":[16],"to":[17,55,79,93,108,130,152],"enhance":[18],"their":[19],"knowledge":[20],"customers'":[22],"electricity":[23,48,98],"consumption":[24,49,60,64,136,144],"behaviors":[25],"via":[26],"profiling.":[28],"Instead":[29],"focusing":[31],"on":[32],"the":[33,36,81,84,95,101,132,139,148,154,161,166,183,186],"shape":[34],"curves,":[38],"this":[39],"paper":[40],"proposes":[41],"novel":[43],"approach":[44,174],"clustering":[46,115],"behavior":[50],"dynamics,":[51],"where":[52],"\u201cdynamics\u201d":[53],"refer":[54],"transitions":[56],"and":[57,87,120,151,189],"relations":[58],"between":[59,141],"behaviors,":[61],"or":[62],"rather":[63],"levels,":[65],"in":[66],"adjacent":[67],"periods.":[68],"First,":[69],"each":[71],"individual":[72],"customer,":[73],"symbolic":[74],"aggregate":[75],"approximation":[76],"is":[77,91,126,169],"performed":[78],"reduce":[80],"scale":[82],"set,":[86],"time-based":[88],"Markov":[89],"model":[90,94],"applied":[92],"dynamic":[96],"consumption,":[99],"transforming":[100],"set":[104],"curves":[107],"several":[109,157],"state":[110],"transition":[111],"matrixes.":[112],"Second,":[113],"technique":[116,168],"by":[117,147],"fast":[118],"search":[119],"find":[121],"density":[123],"peaks":[124],"(CFSFDP)":[125],"primarily":[127],"carried":[128],"out":[129],"obtain":[131],"typical":[133],"dynamics":[134],"behavior,":[137],"with":[138],"difference":[140],"any":[142],"two":[143],"patterns":[145],"measured":[146],"Kullback-Liebler":[149],"distance,":[150],"classify":[153],"customers":[155],"into":[156,171],"clusters.":[158],"To":[159],"tackle":[160],"challenges":[162],"big":[164,176],"data,":[165],"CFSFDP":[167],"integrated":[170],"divide-and-conquer":[173],"toward":[175],"applications.":[178],"A":[179],"numerical":[180],"case":[181],"verifies":[182],"effectiveness":[184],"proposed":[187],"models":[188],"approaches.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":46},{"year":2021,"cited_by_count":51},{"year":2020,"cited_by_count":50},{"year":2019,"cited_by_count":45},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}