{"id":"https://openalex.org/W2033513455","doi":"https://doi.org/10.1109/smartgridcomm.2014.7007707","title":"A simple model-driven approach to energy disaggregation","display_name":"A simple model-driven approach to energy disaggregation","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2033513455","doi":"https://doi.org/10.1109/smartgridcomm.2014.7007707","mag":"2033513455"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm.2014.7007707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2014.7007707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","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/A5067691107","display_name":"Guoming Tang","orcid":"https://orcid.org/0000-0001-9801-1055"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Guoming Tang","raw_affiliation_strings":["University of Victoria, Victoria, BC, CA"],"affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, BC, CA","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641549","display_name":"Kui Wu","orcid":"https://orcid.org/0000-0002-2069-0032"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]},{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Kui Wu","raw_affiliation_strings":["Dept. of Computer Science, University of Victoria, B.C., Canada","School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Victoria, B.C., Canada","institution_ids":["https://openalex.org/I212119943"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065496543","display_name":"Jingsheng Lei","orcid":"https://orcid.org/0000-0002-2445-0925"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsheng Lei","raw_affiliation_strings":["School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102717976","display_name":"Jiuyang Tang","orcid":"https://orcid.org/0009-0005-1786-9831"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuyang Tang","raw_affiliation_strings":["Sci. & Tech. on Information Systems Engineering Lab, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Sci. & Tech. on Information Systems Engineering Lab, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067691107"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":2.0933,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88469814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"566","last_page":"571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9998999834060669,"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":0.9998999834060669,"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":0.994700014591217,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/computer-science","display_name":"Computer science","score":0.7996500134468079},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7150823473930359},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7085261940956116},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.7012135982513428},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6954022645950317},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5347610712051392},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5238471031188965},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5093327760696411},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.482353150844574},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4810926616191864},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4386557936668396},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43668726086616516},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43070918321609497},{"id":"https://openalex.org/keywords/stochastic-matrix","display_name":"Stochastic matrix","score":0.42246392369270325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41872522234916687},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.41166555881500244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30258142948150635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09731394052505493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996500134468079},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7150823473930359},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7085261940956116},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.7012135982513428},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6954022645950317},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5347610712051392},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5238471031188965},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5093327760696411},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.482353150844574},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4810926616191864},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4386557936668396},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43668726086616516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43070918321609497},{"id":"https://openalex.org/C49555168","wikidata":"https://www.wikidata.org/wiki/Q176583","display_name":"Stochastic matrix","level":3,"score":0.42246392369270325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41872522234916687},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.41166555881500244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30258142948150635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09731394052505493},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartgridcomm.2014.7007707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2014.7007707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W168840469","https://openalex.org/W1802947324","https://openalex.org/W2010314082","https://openalex.org/W2045247177","https://openalex.org/W2047861906","https://openalex.org/W2066630786","https://openalex.org/W2075901867","https://openalex.org/W2123910460","https://openalex.org/W2151729265","https://openalex.org/W2160175161","https://openalex.org/W2161708246","https://openalex.org/W2167985623","https://openalex.org/W6606938059","https://openalex.org/W6684888087"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2082284720","https://openalex.org/W2194396582","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2379938888","https://openalex.org/W4233405330","https://openalex.org/W2792905593","https://openalex.org/W1977445474"],"abstract_inverted_index":{"Energy":[0],"disaggregation":[1],"is":[2,118],"to":[3,35,74,120],"discover":[4],"the":[5,18,68,71,85,90,98,104,110,122,138,146,150],"energy":[6,14,100],"consumption":[7,101],"of":[8,61,65,70,89,127,140,145],"individual":[9,99],"appliances":[10,66],"from":[11,103],"their":[12,29],"aggregated":[13,105],"values.":[15],"To":[16,107],"solve":[17,121],"problem,":[19],"most":[20],"existing":[21],"approaches":[22],"rely":[23],"on":[24,50],"either":[25],"appliances'":[26],"signatures":[27],"or":[28,55],"state":[30],"transition":[31],"patterns,":[32],"both":[33,181],"hard":[34],"obtain":[36],"in":[37,124,130,180],"practice.":[38],"Aiming":[39],"at":[40],"developing":[41],"a":[42,76,112,158],"simple,":[43],"universal":[44],"model":[45],"that":[46,144,172],"works":[47],"without":[48],"depending":[49],"sophisticated":[51],"machine":[52,160],"learning":[53,161],"techniques":[54],"auxiliary":[56],"equipments,":[57],"we":[58,136],"make":[59],"use":[60],"easily":[62],"accessible":[63],"knowledge":[64],"and":[67,157,184],"sparsity":[69],"switching":[72],"events":[73],"design":[75],"Sparse":[77],"Switching":[78],"Event":[79],"Recovering":[80],"(SSER)":[81],"method.":[82],"By":[83],"minimizing":[84],"total":[86],"variation":[87],"(TV)":[88],"(sparse)":[91],"event":[92],"matrix,":[93],"SSER":[94],"can":[95],"effectively":[96],"recover":[97],"values":[102],"ones.":[106],"speed":[108],"up":[109],"process,":[111],"Parallel":[113],"Local":[114],"Optimization":[115],"Algorithm":[116],"(PLOA)":[117],"proposed":[119],"problem":[123],"active":[125],"epochs":[126],"appliance":[128],"activities":[129],"parallel.":[131],"Using":[132],"real-world":[133],"trace":[134],"data,":[135],"compare":[137],"performance":[139,179],"our":[141,173],"method":[142,162],"with":[143],"state-of-the-art":[147],"solutions,":[148],"including":[149],"popular":[151],"Least":[152],"Square":[153],"Estimation":[154],"(LSE)":[155],"methods":[156],"recently-developed":[159],"using":[163],"iterative":[164],"Hidden":[165],"Markov":[166],"Model":[167],"(HMM).":[168],"The":[169],"results":[170],"show":[171],"approach":[174],"has":[175],"an":[176],"overall":[177],"better":[178],"detection":[182],"accuracy":[183],"overhead.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
