{"id":"https://openalex.org/W2007987866","doi":"https://doi.org/10.1145/2528282.2528308","title":"Exploring Sequential and Association Rule Mining for Pattern-based Energy Demand Characterization","display_name":"Exploring Sequential and Association Rule Mining for Pattern-based Energy Demand Characterization","publication_year":2013,"publication_date":"2013-10-29","ids":{"openalex":"https://openalex.org/W2007987866","doi":"https://doi.org/10.1145/2528282.2528308","mag":"2007987866"},"language":"en","primary_location":{"id":"doi:10.1145/2528282.2528308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2528282.2528308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","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/A5071113860","display_name":"Leneve Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leneve Ong","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064458775","display_name":"Mario Berg\u00e9s","orcid":"https://orcid.org/0000-0003-2948-9236"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mario Berg\u00e9s","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082588269","display_name":"Hae Young Noh","orcid":"https://orcid.org/0000-0002-7998-3657"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hae Young Noh","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071113860"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.93078076,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89606139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9904999732971191,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8341939449310303},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7047236561775208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814134120941162},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5782009363174438},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5484576225280762},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5462210178375244},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5427865982055664},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.5007796287536621},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4872201979160309},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.47562912106513977},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4619247317314148},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4392836093902588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3432888388633728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32351118326187134},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17737755179405212},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0945175290107727}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8341939449310303},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7047236561775208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814134120941162},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5782009363174438},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5484576225280762},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5462210178375244},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5427865982055664},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5007796287536621},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4872201979160309},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.47562912106513977},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4619247317314148},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4392836093902588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3432888388633728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32351118326187134},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17737755179405212},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0945175290107727},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/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},{"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:10.1145/2528282.2528308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2528282.2528308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2115482638","https://openalex.org/W2122974445","https://openalex.org/W2123488392","https://openalex.org/W2141405654","https://openalex.org/W2151767444","https://openalex.org/W2185246982","https://openalex.org/W6680374861"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W1561334777","https://openalex.org/W3012205960","https://openalex.org/W2079402849","https://openalex.org/W2392697706","https://openalex.org/W366033468"],"abstract_inverted_index":{"The":[0],"relationship":[1,32],"between":[2],"occupant":[3],"activity":[4,40],"and":[5,21,44,77,115],"electricity":[6],"consumption":[7,57],"is":[8,35,49],"inextricably":[9],"linked.":[10],"It":[11],"has":[12],"been":[13],"difficult":[14],"to":[15,84],"both":[16],"gather":[17],"detailed":[18],"energy":[19],"data":[20,67],"information":[22],"about":[23],"occupants'":[24],"daily":[25],"lives":[26],"as":[27,29,68],"well":[28],"understand":[30],"their":[31],"quantitatively.":[33],"There":[34],"significant":[36],"past":[37],"work":[38,62],"on":[39],"recognition":[41],"in":[42],"homes":[43],"load":[45],"prediction,":[46],"but":[47,107],"there":[48],"limited":[50],"understanding":[51],"of":[52,96,104,111],"how":[53],"activities":[54],"can":[55],"inform":[56],"or":[58],"vice":[59],"versa.":[60],"Our":[61],"begins":[63],"by":[64,70],"characterizing":[65],"power":[66],"provided":[69],"plug-level":[71],"meters":[72],"from":[73],"one":[74],"household.":[75],"Association":[76],"sequential":[78],"rule":[79],"mining":[80],"techniques":[81],"are":[82],"applied":[83],"extract":[85],"explicit":[86],"rules":[87],"that":[88],"may":[89],"be":[90],"useful":[91],"for":[92],"forming":[93],"the":[94,102,109],"basis":[95],"demand":[97],"patterns.":[98],"Initial":[99],"findings":[100],"include":[101],"identification":[103],"device":[105],"groups":[106],"highlight":[108],"challenges":[110],"modeling":[112],"complex":[113],"patterns":[114],"event":[116],"rarity.":[117]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}